Visualization For Mac
2020年12月12日Download: http://gg.gg/ngyke
Welcome to the Abstract Music Visualizer, an evolved equalizer visualization. Abstract lines become visualizations unique to your music or audio track. Bring your audience further into your vision with mood-boosting custom color palettes. It’s the perfect way to show off your new music, send a message, or introduce a video. Use the Visual Studio debugger to quickly find and fix bugs across languages. The Visual Studio for Mac debugger lets you step inside your code by setting Breakpoints, Step Over statements, Step Into and Out of functions, and inspect the current state of the code stack through powerful visualizations. Mac OS X 10.5 or later. ITunes 8.0.1 or later. Download: Aqua Flow Visualizer. Dragon Visualizer. This is one of the best and most attractive iTunes visualizers that you can download for enhancing your music listening experience. You can listen to your favorite song and watch Dragon visualizer moving to its beat and have a good time. Best Data Visualization Software For Mac. Data visualization software helps companies make sense of their vast data stores by providing graphical representations of key information. These tools make it easy for ordinary, non-IT users to quickly view data in an easy-to-understand format and assess it so they can make better, more informed decisions.
*Visualization For Magic
*Data Visualization For Machine Learning
’Any Spotify music visualizer recommended? Just watching the album cover appear on the screen, it’s not cool! Surprise me please!’
A music visualizer can generate animated images based on the rhythm and beat of the song, so you won’t feel bored.
In the old days, in the desktop version of Spotify you can search ’spotify:app:visualizer’ and get the Spotify built-in music visualizer. Somehow now this feature is removed for good.
So, alternatively, you need a 3-party Spotify music visualizer! Don’t know which one to choose? This article lists the top 9 visualizers for Spotify.Part 1. Online Music Visualizers for Spotify
Firstly, I would like to introduce online sites that can work as Spotify visualizer.
They are super easy to use. You just need to visit the website and then log into your Spotify account. Then when you’re playing music in your Spotify, the visualizers will begin showing you animated pictures.
I hope you can have fun with them while listening to music. Now let’s check!
#1 Kaleidosync.herokuapp
Kaleidosync.herokuapp is an HTML5 music visualizer for Spotify. As its name kaleidosync, it defaults to a kaleidoscope animation, but you can adjust various functions such as zoom, brightness, side, and even RGB to shape your own shape you want.
#2 Wavesync
The second is Wavesync, a visualizer for Spotify with a relatively single function. When playing Spotify music, it will be accompanied by a variety of wave ripples. If you don’t like fancy animations, then this is suitable for you.
#3 Tessellator Spotify audio visualizer
The last one is the Tessellator Spotify audio visualizer, which supports 3D interactive music and has motion pictures of different shapes, such as pyramids, cubes, mesh structures, wave textures, etc.
For the online music visualizer Spotify, the functions are similar. It mainly depends on whether the user’s visual experience is good. Or just follow your favorite animated picture to choose the Spotify visualizer.
Part 2. Popular Third-party Spotify Music Visualizer (Assistant Software)
To enjoy visualization along with these softwares, it’s necessary to download Spotify playlists and songs to computer first so that you can play the songs and tracks.
#4 Synesthesia
What makes it a wonderful music visualizer for Spotify? I would say its 40+ built-in scenes and high-quality visual effects (both videos and audios). Moreover, Synesthesia comes with a pre-installed orientation that makes it quite easy to use.
#5 PotPlayer
PotPlayer music player visualizer produces real-time visual effects according to the tempo and decibel of the music being played. Its unique algorithm can absolutely entertain you with visual effects of various styles, such as Floating ball, WMP visualization, and Slideshow, etc.
Only thing is, you can only use it on a computer (Windows and Mac) but not on a smartphone.#6 AIMP
AIMP visualization is compatible with Windows, Android, and iOS devices. That’s very nice. Plus, 3 options for visualizing Spotify music are available: CoR’s Aorta 1.1, analog instrument night, and analog instrumentation classics.
Simply download, install, and activate AIMP visualization, then select your preferred mode.
#7 iTunes
If you’re using a MacBook, give iTunes a chance to show you what it has got. iTunes has built-in visualization features. Just press Command-T while playing music.
#8 Windows Media Player
It’s known as the default player for the Windows computer. Also, it also has built-in visualizations as well.
Click the icon button (’Switch to Now Playing’) in the lower right corner > Click ’Play’ to play music > Right-click on any blank area on Windows media player and select ’Visualization’ from the pop-up list
After that, it would show you a lot of available visualization effects.
#9 VLC Player
You can get VLC Player installed on both Windows and Mac. And by default, it gives you 6 available visualizations, including Spectrometer, Scope, Spectrum, Vu Meter, Goom, and ProjectM.
While you play an audio file, right-click on it and select Audio > Visualizations.
Bonus Tip. Download Spotify Tracks and Add to Music Visualizer
It is well known that Spotify music is protected by DRM and the downloaded format of Spotify music is Ogg Vorbis. To play the songs with media plays and visualization tools, you need to convert Spotify songs’ format and remove DRM protection.
To do so, you can use DRmare Spotify Ripper. Check out the following steps!
Step 1. Download and install DRmare Spotify Music Converter on the computer, then run it. And Spotify program will be launched automatically, too. Now drag the Spotify song or playlist you want to download directly to DRmare or copy the tracking link to DRmare’s download box.
Step 2. After adding the songs to DRmare, you will need to check and confirm it. If everything is OK, click the ’+’ button to add the selected song.
Step 3. Click the Convert button and wait a few minutes. Once done, you can play the songs offline with a Spotify visualizer!
The Bottom Line
I know it is cool to listen to music with a Spotify visualizer. The amazing animated images go up and down along with the song. So, this post lists the best 9 Spotify music visualizers. And I hope you can find one that can satisfy you.
Visualization For Magic
In case you are using an awesome music visualizer, but this post doesn’t mention it at all, write your words in the comment section below. Thank you very much and I hope you have a good day.
Last update 9/25/2020Software designed for ease of useDataGraph
Compatibility: Cocoa-based. Older versions compatible with 10.4; current 10.9-10.15. Catalina / dark mode compatible. On Mac App Store, too.Version: 4.51 (4.6 announced for late September/early October)Price: $90 perpetual; $50/year; $30/year academic; free trial with some features disabled; volume discounts automatically appliedListing updated 9/25/2020. Software updated 2/17/2020.Published by: VisualDataTools.com
Developer David Adalsteinsson wrote this $40 program in Cocoa, so it is native to OS X. It grew out of DataTank and shares underlying graphics code, but is limited to two-dimensional graphing; the design is “simple and powerful,” with an emphasis on publication-quality output. Amazingly, DataGraph reads in CricketGraph files, creates animations, and can be called from Automator or the command line. Version 4 is increasingly able to work with R, and can handle over 200,000 points. It still works with OS 10.9 despite being Catalina-friendly, and has an active news page on the company site.Thunderplot
Version: 1.15 Listing updated 8/2019. Software updated 2018.64-bit. Signed.Published by: Thunderplot
Thunderplot, a native Mac program, was created for quick data visualization; a native Mac program. Its programmer, Vadim Kalinsky, wrote: “It parses contaminated data (like ‘64 bytes from 8.8.8.8’), supports numeric and time axis, expressions, multiple datasets, multiple curves, works quickly with large datasets, has simple and responsive interface, and exports to jpeg/png/etc. It is available in the Apple Store (not currently in the US), and a non-sandboxed (but signed) version is available.”
Our initial impressions are that it is very easy to use, and the snapshot feature should prove very handy to web publishers. The program takes up just 4 MB of space and around 25 MB of RAM, other than data. Despite our poor snapshot, it is capable of sophisticated graphics and has numerous controls.Kaleidagraph
Configurations: 68000 (older versions); PowerPC (older versions); Intel; Mac OS 10.4 - 10.13.x Current Version: 4.5.4Price: $200 (academic $140); crossgrades $100; upgrades $60Listing updated: 11/12/2018Software last updated: March 2018
Kaleidagraph is a (dual-platform) data analysis and graphing application published by Synergy Software. A demo is available. Kaleidagaph’s promotional materials promise essentially everything offered by DeltaGraph and then some. The Universal Binary update did not appear until August 2009, but it came with Intel-Mac optimization at long last, along with the use of QuickTime for export, which provides extra features.
Users have written in to say that Kaleidagraph can easily tabulate, normalize, and combine data sets, make numerical calculations of theoretical expressions for comparisons with the measured data points, make publication-quality graphs with little effort.
James P. Conner pointed out, ’KaleidaGraph can handle 1,000 columns and one million rows, while Delta Graph is (last time I looked) limited to 256 columns and 32K rows. Also, K-Graph’s statistical functions have been expanded significantly in the last two releases, and are much more useful than D-Graph’s.’
The program has been kept updated, despite a web site with a 2013 copyright date; when we checked in November 2018, the last update had been in March. However, it’s hard to take the company seriously if it does not have signed software, or any mention of the current operating system after it’s been out for over a month (even if it’s just saying “don’t upgrade yet.”)Lively Logic
Configurations: OS X Mavericks, El Capitan, and SierraPrice: $20 (Mac App Store)Version: 1.5.4Listing updated: 11/2018 (software updated 2018)
From Ripeware, Lively Logic imports data from CSV files to create line graphs, scatter plots, bar graphs, bubble graphs, candlestick charts, pie charts, and tables. It has 75 functions, automatic updating of when data changes, and customization of graph elements. Available in the Mac App Store, it gained axis auto-scaling, better graph panning/scaling by dragging axes, best-fit curves, and support for Retina displays with version 1.1.MagicPlot
Configurations: Windows, Mac OS X, Linux; 2 MB and does not require installation (Java program)Student version: Free but limited. Pro: $198, trial available; includes custom fit equations, data and batch processing, vector export, and more.Version: 2.8Listing updated: 11/12/2018. Software updated: sometime after Jan. 2017Appears to be under active development.
MagicPlot is used for scientific and engineering data analysis, graphing, nonlinear curve fitting, and multi-peak fitting. The Pro version program has publication quality customizable plots with multiple axes, text table import with previews, data manipulation, FFT, integration, differentiation, histograms, and other statistics, with multiple undos (some of these features are on the free student version as well).
The software is relatively easy to use and nicely featured, but as a Java program, does not use standard Mac open/close dialogue boxes, so finding files may be hard depending on your file structure. The system is simple enough — fill a table with data, add formulas if desired, choose the type of table you want, and select a large number of options from the dialogue boxes which appear next. It takes a short time to get acquainted but is far easier to learn than many graphing programs; basic statistics are provided. The program can guess the most appropriate fit line, but lets users choose a method if desired.pro Fit
Configurations: OS X 10.8 or laterCurrent Version: 7.0.15 Price: $95; upgrade, $55Software updated: 10/15/2019. Report updated: 3/11/2020
pro Fit is a data analysis and plotting software package from QuantumSoft. Dave [not me] wrote: ’...it has an extensive Applescript dictionary, ability to handle large data sets well (I’ve done graphs with hundreds of thousands of points), can be extended by writing plug ins or adding formulas that you create, does great curve fitting. I consider it much more feature complete than Kaliedagraph and far more intuitive than Igor Pro. They have excellent customer support, usually getting back to you within 24 hours if you have a bug report or feature request.’ We have observed that ProFit is frequently updated which indicates it is well supported (2010).
“pro Fit is a Macintosh (Mac OS) application for data/function analysis, plotting, and curve fitting. It is used by scientists and engineers to analyze their measurements and the mathematical models they use to describe them. Scientists or students can define any mathematical function and use it to model their data, finding by linear or nonlinear curve fitting the function parameters that best describe their observations. Moreover, they can use a number of tools for the mathematical and statistical analysis of functions and data sets, and they can produce aesthetically pleasing graphical representations for their scientific reports.”
Version 6.1 changes: now Universal Binary; new tool for multidimensional curve fitting; revamped rendering engine for plots with native Core Graphics, PDF, and PostScript support; additions to the scripting language; more. Version 6.2: Python support, extended fitting, more data processing, higher performance. Powerful omnibus software that takes some getting used toData Visualization For Machine LearningGraphviz
Configurations: PPC, Universal; current versions from Leopard to Mountain Lion Current Version: 2.62Software last updated: 2019Listing updated: March 2020
Graphviz is an open source drawing package. Prepare for a steep learning curve but it may be worth it if you have graphs you do frequently; not what I’d suggest for the occasional one-off though, especially since it is really designed for Linux and must be installed via MacPorts or Homebrew. Veusz (“Views”)
Python program for OS X, Linux, UNIX, and WindowsLatest version: 3.2 (listing updated 3/11/2020)
A surprisingly capable free program, Veusz creates publication quality output in PDF or SVG formats. Data can be read from text, CSV, or FITS files, and can be manipulated within the program. There is an object-based interface along with command line and Python-based scripting; it can be used as a Python pltting module. Charts include X-Y (with error bars and such), line and function, contour, image, stepped/histogram, bar, vector field, box, polar, and many others, with broken and multiple axes. There is an API for plugins, the ability to capture external data, and command-line scripting; plotting can also be accessed via DBUS and SAMP. Nice but priceyDataDesk / Data Desk DP / Data Desk DDRP
Configurations: started as 680x0; currently Universal; OSX 10.7 or higherCurrent Version: 8.21 (OS X), 6.1 (OS 7-9)Price: $495 normal (DataDesk Pro), academic $295 (Academic Data Desk), $30 student—full versions, no annual fees.Listing updated: 2/23/2020 • last software update, 2020Published by DataDescription
An exploratory data analysis package, DataDesk was originally developed by Cornell professor Paul Velleman, once a student of Bell Labs’ famed John Tukey. (800) 573-5121.
The Mac version is at parity with the Windows version. The strength and weakness of DataDesk is its visual environment:
While it implements many traditional statistics techniques suitable for data from planned experiments and sample surveys, Data Desk’s true strength is its powerful tools for data exploration. ... speed and linked views make Data Desk unsurpassable for exploring any set of data. ... Select points in one plot or table and see those points highlight instantly in all other plots. Modify a data value or parameter and see all relevant plots and table update immediately...
Dick Furnas wrote:
DataDesk is superb for exploratory data analysis. A student version is bundled with several textbooks Velleman has been involved in. DataDesk was originally developed for the Mac and makes splendid use of drag and drop, clickable, live interfaces and everything a Mac user might wish for (you can lasso points in a graph and the data values from the underlying data tables will be highlighted, and vice/versa).
Data Desk DDRP was recently added as an upgrade from Data Desk 8, for $39 (for a single license) with upgrades from versions 6 and 7 as well (for $149 and $99, respectively). It includes a data and story library, writes out R or Python commands so any table can be reproduced, and imports from Excel (including relations).DataTank
OS X (PPC); Cocoa-basedCost: $595 academic/government, $1,195 “normal.” Free trial. Free for students. Software last updated 2005; made free for students, 2014. Listing updated 3/2020.Published by: VisualDataTools.com
Winner of the 2005 Apple Design Award for Best Scientific Computing Solution. From their web site:
DataTank is designed for scientific visualization, data mining, and algorithm development, but it is flexible enough to be used for a variety of other uses as well. Like other scientific visualization programs DataTank uses OpenGL to draw 3D graphics, and supports transparency, interactive rotation, multiple light sources and camera positions. DataTank uses the strength of Quartz to generate publication quality vector-graphics as PDF/EPS or anti-aliased bitmaps for use in web pages and presentations. ... DataTank enables interactive exploration of large data sets. ... DataTank will perform incremental evaluation, treating data sets with millions of data points and hundreds of thousands of entries the same way as a simple data set that is typed in manually.
Dennis Kahlbaum wrote: “Excellent support. Program is extremely flexible and can be used for graphics, statistics, visualizations, etc; Can produce animations of contours (lines and shading) generated from variably spaced data. Can use ESRI shapfiles.” We add that it is scriptable.DeltaGraph
Configurations: 68030 or later, OS 7-9 (older versions); Universal; betas may be Lion compatibleNot ready for OS 10.15 “Catalina”Current Version: 7.13Price: $299 ($19 https://diarynote.indered.space
Welcome to the Abstract Music Visualizer, an evolved equalizer visualization. Abstract lines become visualizations unique to your music or audio track. Bring your audience further into your vision with mood-boosting custom color palettes. It’s the perfect way to show off your new music, send a message, or introduce a video. Use the Visual Studio debugger to quickly find and fix bugs across languages. The Visual Studio for Mac debugger lets you step inside your code by setting Breakpoints, Step Over statements, Step Into and Out of functions, and inspect the current state of the code stack through powerful visualizations. Mac OS X 10.5 or later. ITunes 8.0.1 or later. Download: Aqua Flow Visualizer. Dragon Visualizer. This is one of the best and most attractive iTunes visualizers that you can download for enhancing your music listening experience. You can listen to your favorite song and watch Dragon visualizer moving to its beat and have a good time. Best Data Visualization Software For Mac. Data visualization software helps companies make sense of their vast data stores by providing graphical representations of key information. These tools make it easy for ordinary, non-IT users to quickly view data in an easy-to-understand format and assess it so they can make better, more informed decisions.
*Visualization For Magic
*Data Visualization For Machine Learning
’Any Spotify music visualizer recommended? Just watching the album cover appear on the screen, it’s not cool! Surprise me please!’
A music visualizer can generate animated images based on the rhythm and beat of the song, so you won’t feel bored.
In the old days, in the desktop version of Spotify you can search ’spotify:app:visualizer’ and get the Spotify built-in music visualizer. Somehow now this feature is removed for good.
So, alternatively, you need a 3-party Spotify music visualizer! Don’t know which one to choose? This article lists the top 9 visualizers for Spotify.Part 1. Online Music Visualizers for Spotify
Firstly, I would like to introduce online sites that can work as Spotify visualizer.
They are super easy to use. You just need to visit the website and then log into your Spotify account. Then when you’re playing music in your Spotify, the visualizers will begin showing you animated pictures.
I hope you can have fun with them while listening to music. Now let’s check!
#1 Kaleidosync.herokuapp
Kaleidosync.herokuapp is an HTML5 music visualizer for Spotify. As its name kaleidosync, it defaults to a kaleidoscope animation, but you can adjust various functions such as zoom, brightness, side, and even RGB to shape your own shape you want.
#2 Wavesync
The second is Wavesync, a visualizer for Spotify with a relatively single function. When playing Spotify music, it will be accompanied by a variety of wave ripples. If you don’t like fancy animations, then this is suitable for you.
#3 Tessellator Spotify audio visualizer
The last one is the Tessellator Spotify audio visualizer, which supports 3D interactive music and has motion pictures of different shapes, such as pyramids, cubes, mesh structures, wave textures, etc.
For the online music visualizer Spotify, the functions are similar. It mainly depends on whether the user’s visual experience is good. Or just follow your favorite animated picture to choose the Spotify visualizer.
Part 2. Popular Third-party Spotify Music Visualizer (Assistant Software)
To enjoy visualization along with these softwares, it’s necessary to download Spotify playlists and songs to computer first so that you can play the songs and tracks.
#4 Synesthesia
What makes it a wonderful music visualizer for Spotify? I would say its 40+ built-in scenes and high-quality visual effects (both videos and audios). Moreover, Synesthesia comes with a pre-installed orientation that makes it quite easy to use.
#5 PotPlayer
PotPlayer music player visualizer produces real-time visual effects according to the tempo and decibel of the music being played. Its unique algorithm can absolutely entertain you with visual effects of various styles, such as Floating ball, WMP visualization, and Slideshow, etc.
Only thing is, you can only use it on a computer (Windows and Mac) but not on a smartphone.#6 AIMP
AIMP visualization is compatible with Windows, Android, and iOS devices. That’s very nice. Plus, 3 options for visualizing Spotify music are available: CoR’s Aorta 1.1, analog instrument night, and analog instrumentation classics.
Simply download, install, and activate AIMP visualization, then select your preferred mode.
#7 iTunes
If you’re using a MacBook, give iTunes a chance to show you what it has got. iTunes has built-in visualization features. Just press Command-T while playing music.
#8 Windows Media Player
It’s known as the default player for the Windows computer. Also, it also has built-in visualizations as well.
Click the icon button (’Switch to Now Playing’) in the lower right corner > Click ’Play’ to play music > Right-click on any blank area on Windows media player and select ’Visualization’ from the pop-up list
After that, it would show you a lot of available visualization effects.
#9 VLC Player
You can get VLC Player installed on both Windows and Mac. And by default, it gives you 6 available visualizations, including Spectrometer, Scope, Spectrum, Vu Meter, Goom, and ProjectM.
While you play an audio file, right-click on it and select Audio > Visualizations.
Bonus Tip. Download Spotify Tracks and Add to Music Visualizer
It is well known that Spotify music is protected by DRM and the downloaded format of Spotify music is Ogg Vorbis. To play the songs with media plays and visualization tools, you need to convert Spotify songs’ format and remove DRM protection.
To do so, you can use DRmare Spotify Ripper. Check out the following steps!
Step 1. Download and install DRmare Spotify Music Converter on the computer, then run it. And Spotify program will be launched automatically, too. Now drag the Spotify song or playlist you want to download directly to DRmare or copy the tracking link to DRmare’s download box.
Step 2. After adding the songs to DRmare, you will need to check and confirm it. If everything is OK, click the ’+’ button to add the selected song.
Step 3. Click the Convert button and wait a few minutes. Once done, you can play the songs offline with a Spotify visualizer!
The Bottom Line
I know it is cool to listen to music with a Spotify visualizer. The amazing animated images go up and down along with the song. So, this post lists the best 9 Spotify music visualizers. And I hope you can find one that can satisfy you.
Visualization For Magic
In case you are using an awesome music visualizer, but this post doesn’t mention it at all, write your words in the comment section below. Thank you very much and I hope you have a good day.
Last update 9/25/2020Software designed for ease of useDataGraph
Compatibility: Cocoa-based. Older versions compatible with 10.4; current 10.9-10.15. Catalina / dark mode compatible. On Mac App Store, too.Version: 4.51 (4.6 announced for late September/early October)Price: $90 perpetual; $50/year; $30/year academic; free trial with some features disabled; volume discounts automatically appliedListing updated 9/25/2020. Software updated 2/17/2020.Published by: VisualDataTools.com
Developer David Adalsteinsson wrote this $40 program in Cocoa, so it is native to OS X. It grew out of DataTank and shares underlying graphics code, but is limited to two-dimensional graphing; the design is “simple and powerful,” with an emphasis on publication-quality output. Amazingly, DataGraph reads in CricketGraph files, creates animations, and can be called from Automator or the command line. Version 4 is increasingly able to work with R, and can handle over 200,000 points. It still works with OS 10.9 despite being Catalina-friendly, and has an active news page on the company site.Thunderplot
Version: 1.15 Listing updated 8/2019. Software updated 2018.64-bit. Signed.Published by: Thunderplot
Thunderplot, a native Mac program, was created for quick data visualization; a native Mac program. Its programmer, Vadim Kalinsky, wrote: “It parses contaminated data (like ‘64 bytes from 8.8.8.8’), supports numeric and time axis, expressions, multiple datasets, multiple curves, works quickly with large datasets, has simple and responsive interface, and exports to jpeg/png/etc. It is available in the Apple Store (not currently in the US), and a non-sandboxed (but signed) version is available.”
Our initial impressions are that it is very easy to use, and the snapshot feature should prove very handy to web publishers. The program takes up just 4 MB of space and around 25 MB of RAM, other than data. Despite our poor snapshot, it is capable of sophisticated graphics and has numerous controls.Kaleidagraph
Configurations: 68000 (older versions); PowerPC (older versions); Intel; Mac OS 10.4 - 10.13.x Current Version: 4.5.4Price: $200 (academic $140); crossgrades $100; upgrades $60Listing updated: 11/12/2018Software last updated: March 2018
Kaleidagraph is a (dual-platform) data analysis and graphing application published by Synergy Software. A demo is available. Kaleidagaph’s promotional materials promise essentially everything offered by DeltaGraph and then some. The Universal Binary update did not appear until August 2009, but it came with Intel-Mac optimization at long last, along with the use of QuickTime for export, which provides extra features.
Users have written in to say that Kaleidagraph can easily tabulate, normalize, and combine data sets, make numerical calculations of theoretical expressions for comparisons with the measured data points, make publication-quality graphs with little effort.
James P. Conner pointed out, ’KaleidaGraph can handle 1,000 columns and one million rows, while Delta Graph is (last time I looked) limited to 256 columns and 32K rows. Also, K-Graph’s statistical functions have been expanded significantly in the last two releases, and are much more useful than D-Graph’s.’
The program has been kept updated, despite a web site with a 2013 copyright date; when we checked in November 2018, the last update had been in March. However, it’s hard to take the company seriously if it does not have signed software, or any mention of the current operating system after it’s been out for over a month (even if it’s just saying “don’t upgrade yet.”)Lively Logic
Configurations: OS X Mavericks, El Capitan, and SierraPrice: $20 (Mac App Store)Version: 1.5.4Listing updated: 11/2018 (software updated 2018)
From Ripeware, Lively Logic imports data from CSV files to create line graphs, scatter plots, bar graphs, bubble graphs, candlestick charts, pie charts, and tables. It has 75 functions, automatic updating of when data changes, and customization of graph elements. Available in the Mac App Store, it gained axis auto-scaling, better graph panning/scaling by dragging axes, best-fit curves, and support for Retina displays with version 1.1.MagicPlot
Configurations: Windows, Mac OS X, Linux; 2 MB and does not require installation (Java program)Student version: Free but limited. Pro: $198, trial available; includes custom fit equations, data and batch processing, vector export, and more.Version: 2.8Listing updated: 11/12/2018. Software updated: sometime after Jan. 2017Appears to be under active development.
MagicPlot is used for scientific and engineering data analysis, graphing, nonlinear curve fitting, and multi-peak fitting. The Pro version program has publication quality customizable plots with multiple axes, text table import with previews, data manipulation, FFT, integration, differentiation, histograms, and other statistics, with multiple undos (some of these features are on the free student version as well).
The software is relatively easy to use and nicely featured, but as a Java program, does not use standard Mac open/close dialogue boxes, so finding files may be hard depending on your file structure. The system is simple enough — fill a table with data, add formulas if desired, choose the type of table you want, and select a large number of options from the dialogue boxes which appear next. It takes a short time to get acquainted but is far easier to learn than many graphing programs; basic statistics are provided. The program can guess the most appropriate fit line, but lets users choose a method if desired.pro Fit
Configurations: OS X 10.8 or laterCurrent Version: 7.0.15 Price: $95; upgrade, $55Software updated: 10/15/2019. Report updated: 3/11/2020
pro Fit is a data analysis and plotting software package from QuantumSoft. Dave [not me] wrote: ’...it has an extensive Applescript dictionary, ability to handle large data sets well (I’ve done graphs with hundreds of thousands of points), can be extended by writing plug ins or adding formulas that you create, does great curve fitting. I consider it much more feature complete than Kaliedagraph and far more intuitive than Igor Pro. They have excellent customer support, usually getting back to you within 24 hours if you have a bug report or feature request.’ We have observed that ProFit is frequently updated which indicates it is well supported (2010).
“pro Fit is a Macintosh (Mac OS) application for data/function analysis, plotting, and curve fitting. It is used by scientists and engineers to analyze their measurements and the mathematical models they use to describe them. Scientists or students can define any mathematical function and use it to model their data, finding by linear or nonlinear curve fitting the function parameters that best describe their observations. Moreover, they can use a number of tools for the mathematical and statistical analysis of functions and data sets, and they can produce aesthetically pleasing graphical representations for their scientific reports.”
Version 6.1 changes: now Universal Binary; new tool for multidimensional curve fitting; revamped rendering engine for plots with native Core Graphics, PDF, and PostScript support; additions to the scripting language; more. Version 6.2: Python support, extended fitting, more data processing, higher performance. Powerful omnibus software that takes some getting used toData Visualization For Machine LearningGraphviz
Configurations: PPC, Universal; current versions from Leopard to Mountain Lion Current Version: 2.62Software last updated: 2019Listing updated: March 2020
Graphviz is an open source drawing package. Prepare for a steep learning curve but it may be worth it if you have graphs you do frequently; not what I’d suggest for the occasional one-off though, especially since it is really designed for Linux and must be installed via MacPorts or Homebrew. Veusz (“Views”)
Python program for OS X, Linux, UNIX, and WindowsLatest version: 3.2 (listing updated 3/11/2020)
A surprisingly capable free program, Veusz creates publication quality output in PDF or SVG formats. Data can be read from text, CSV, or FITS files, and can be manipulated within the program. There is an object-based interface along with command line and Python-based scripting; it can be used as a Python pltting module. Charts include X-Y (with error bars and such), line and function, contour, image, stepped/histogram, bar, vector field, box, polar, and many others, with broken and multiple axes. There is an API for plugins, the ability to capture external data, and command-line scripting; plotting can also be accessed via DBUS and SAMP. Nice but priceyDataDesk / Data Desk DP / Data Desk DDRP
Configurations: started as 680x0; currently Universal; OSX 10.7 or higherCurrent Version: 8.21 (OS X), 6.1 (OS 7-9)Price: $495 normal (DataDesk Pro), academic $295 (Academic Data Desk), $30 student—full versions, no annual fees.Listing updated: 2/23/2020 • last software update, 2020Published by DataDescription
An exploratory data analysis package, DataDesk was originally developed by Cornell professor Paul Velleman, once a student of Bell Labs’ famed John Tukey. (800) 573-5121.
The Mac version is at parity with the Windows version. The strength and weakness of DataDesk is its visual environment:
While it implements many traditional statistics techniques suitable for data from planned experiments and sample surveys, Data Desk’s true strength is its powerful tools for data exploration. ... speed and linked views make Data Desk unsurpassable for exploring any set of data. ... Select points in one plot or table and see those points highlight instantly in all other plots. Modify a data value or parameter and see all relevant plots and table update immediately...
Dick Furnas wrote:
DataDesk is superb for exploratory data analysis. A student version is bundled with several textbooks Velleman has been involved in. DataDesk was originally developed for the Mac and makes splendid use of drag and drop, clickable, live interfaces and everything a Mac user might wish for (you can lasso points in a graph and the data values from the underlying data tables will be highlighted, and vice/versa).
Data Desk DDRP was recently added as an upgrade from Data Desk 8, for $39 (for a single license) with upgrades from versions 6 and 7 as well (for $149 and $99, respectively). It includes a data and story library, writes out R or Python commands so any table can be reproduced, and imports from Excel (including relations).DataTank
OS X (PPC); Cocoa-basedCost: $595 academic/government, $1,195 “normal.” Free trial. Free for students. Software last updated 2005; made free for students, 2014. Listing updated 3/2020.Published by: VisualDataTools.com
Winner of the 2005 Apple Design Award for Best Scientific Computing Solution. From their web site:
DataTank is designed for scientific visualization, data mining, and algorithm development, but it is flexible enough to be used for a variety of other uses as well. Like other scientific visualization programs DataTank uses OpenGL to draw 3D graphics, and supports transparency, interactive rotation, multiple light sources and camera positions. DataTank uses the strength of Quartz to generate publication quality vector-graphics as PDF/EPS or anti-aliased bitmaps for use in web pages and presentations. ... DataTank enables interactive exploration of large data sets. ... DataTank will perform incremental evaluation, treating data sets with millions of data points and hundreds of thousands of entries the same way as a simple data set that is typed in manually.
Dennis Kahlbaum wrote: “Excellent support. Program is extremely flexible and can be used for graphics, statistics, visualizations, etc; Can produce animations of contours (lines and shading) generated from variably spaced data. Can use ESRI shapfiles.” We add that it is scriptable.DeltaGraph
Configurations: 68030 or later, OS 7-9 (older versions); Universal; betas may be Lion compatibleNot ready for OS 10.15 “Catalina”Current Version: 7.13Price: $299 ($19 https://diarynote.indered.space
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