Explore, develop and visualize scientific data. #Python analysis environment #Develop scientific data #Visualize scientific data #Analysis #Environment #Development
Canopy is a cross-platform Python environment which provides over 100 packages for scientific analysis and visualization of data.
The advantage of working in Python is that your programs, tools and algorithms do not get locked into a proprietary language.
Canopy allows for streamlined algorithm prototyping and testing as well as for easy data ingestion, manipulation and analysis.
Canopy is cross-platform and it works on Mac OS X, Windows and Linux. Binaries for the Windows and Linux platforms are available on the project's homepage.
Canopy comes in three versions. For a detailed comparison, click HERE.
Limitations in the unregistered version
- The Free version includes limited functionality.
What's new in Canopy 1.5.5:
- Updated: Qt GUI toolkit (#3676):
- The QT GUI toolkit used in Canopy has been updated to version 4.8.7. This should provide stability improvements to Canopy on OS X Yosemite.
- Fixed: Canopy in-application update was disabled (#3718):
- An persistent problem in Canopy’s in-application update feature caused extreme bandwidth burden, requiring us again to disable these updates. This has been improved (fixed, we hope!) in Canopy 1.5.5, which means that updates to subsequent versions of Canopy should again be possible from Canopy 1.5.5 (not from earlier versions). For more information, see “Canopy shows no updates available” in the Enthought Support Knowledge Base.
Canopy 1.5.5
add to watchlist add to download basket send us an update REPORT- runs on:
- Mac OS X 10.6.2 or later (-)
- file size:
- 301 MB
8 screenshots:
- main category:
- Developer Tools
- developer:
- visit homepage
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