Orange, a component-based data mining framework.
Project description
Orange is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing and modeling techniques. It can be used through a nice and intuitive user interface or, for more advanced users, as a module for Python programming language.
Installing
To build and install Orange run:
python setup.py build python setup.py install
from the command line. You can customize the build process by editing the setup-site.cfg file in this directory (see the comments in that file for instructions on how to do that).
Running tests
After Orange is installed, you can check if everything is working OK by running the included tests:
python setup.py test
This command runs all the unit tests and documentation examples. Some of the latter have additional dependencies you can satisfy by installing matplotlib, PIL and scipy.
Starting Orange Canvas
Start orange canvas from the command line with:
orange-canvas
Installation for Developers
To install in development mode run:
python setup.py develop
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file Orange-2.7.1.tar.gz.
File metadata
- Download URL: Orange-2.7.1.tar.gz
- Upload date:
- Size: 12.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1057e675407745d170bb8ee7e8e0a5618c4ea867a9f7f0387aeeca31f1d6fa43
|
|
| MD5 |
383e2236fe3b3df8711223fa09a36f98
|
|
| BLAKE2b-256 |
9bb90a3a743cc8c1ac89b8a9627215bfd603831992901dc84ec7e174c3e82fda
|
File details
Details for the file Orange-2.7.1.win32-py2.7.exe.
File metadata
- Download URL: Orange-2.7.1.win32-py2.7.exe
- Upload date:
- Size: 7.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
85afc6dd9181541756e1f8c1960a09e07d34939e6a3c29561934aa130002feb4
|
|
| MD5 |
76547290dbcc500487494823eb75158a
|
|
| BLAKE2b-256 |
a9dca142f343704b6f285b482608238a90f09527d0986a7e23bc5e9d3168a3cc
|
File details
Details for the file Orange-2.7.1-py2.7-win32.egg.
File metadata
- Download URL: Orange-2.7.1-py2.7-win32.egg
- Upload date:
- Size: 6.8 MB
- Tags: Egg
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b9d7a7a7d34d3aecd1e4eb9941a582d770886269d48b23583bf2a15f3fd97fbb
|
|
| MD5 |
fa2a13103e6f9907346cd635e54e5f13
|
|
| BLAKE2b-256 |
a0931b292b58efb6cbcdb8a7e920f0d037d68db8dc90a2fce2bc79bf46f68909
|
File details
Details for the file Orange-2.7.1-cp27-none-win32.whl.
File metadata
- Download URL: Orange-2.7.1-cp27-none-win32.whl
- Upload date:
- Size: 6.9 MB
- Tags: CPython 2.7, Windows x86
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3e88d25d876a5bb2622e47c0f614adfd43a5b4c89677ec9b4940b1a64c6c833b
|
|
| MD5 |
944320f52959b7f62f1d348900e05a26
|
|
| BLAKE2b-256 |
637e8bf6846e9868abaeaff9a1e18feb6ed90f588c755e9f7989a228df694383
|
