orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

https://github.com/biolab/orange3

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • βœ“
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
  • βœ“
    Committers with academic emails
    11 of 117 committers (9.4%) from academic institutions
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    Institutional organization owner
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    JOSS paper metadata
  • β—‹
    Scientific vocabulary similarity
    Low similarity (15.9%) to scientific vocabulary

Keywords

classification clustering data-mining data-science data-visualization decision-trees machine-learning numpy orange orange3 pandas plotting python random-forest regression scikit-learn scipy visual-programming visualization

Keywords from Contributors

distributed parallel hyperparameter-optimization recommendation alignment flexible gbm dimensionality-reduction embedding gbrt
Last synced: 6 months ago · JSON representation

Repository

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Basic Info
Statistics
  • Stars: 5,326
  • Watchers: 187
  • Forks: 1,069
  • Open Issues: 167
  • Releases: 45
Topics
classification clustering data-mining data-science data-visualization decision-trees machine-learning numpy orange orange3 pandas plotting python random-forest regression scikit-learn scipy visual-programming visualization
Created almost 13 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing Funding License Code of conduct Roadmap

README-dev.md

Orange development

The source code of Orange is versioned in Git and hosted on GitHub. If you want to contribute to this open-source project you will have to use git. However, for minor experimentation with the source code you can also get by without.

Prerequisites

Orange is written mostly in Python, therefore you'll need Python 3 version 3.6 or newer.

You will also need a C/C++ compiler. On Windows, you can get one by installing Visual Studio. A slightly more "minimalistic" option is to install only its Build Tools.

Source code

Get the source code by cloning the git repository

git clone https://github.com/biolab/orange3.git

or, alternatively, download and unpack the ZIP archive of the source code from GitHub.

Building

Consider using virtual environments to avoid package conflicts.

Install the required Python packages

pip install -r requirements.txt

and run the setup script with a development option, which will link to the source code instead of creating a new package in Python's site-packages.

python setup.py develop

Verify the installation by importing the Orange package from Python and loading an example Iris dataset.

>>> import Orange
>>> print(Orange.data.Table("iris")[0])
[5.1, 3.5, 1.4, 0.2 | Iris-setosa]

Using the graphic user interface requires some additional packages.

pip install -r requirements-gui.txt

To start Orange GUI from the command line, run:

python3 -m Orange.canvas

Contributing

If you've made improvements that you want to contribute, you'll need your own fork of the GitHub repository. After committing and pushing changes to your fork, you can create a pull request. We will review your contribution and hopefully merge it after any potential corrections.

You can view the list of open pull requests and known issues on GitHub.

Owner

  • Name: Bioinformatics Laboratory
  • Login: biolab
  • Kind: organization
  • Email: info@biolab.si
  • Location: Faculty of Computer and Information Science, University of Ljubljana

GitHub Events

Total
  • Create event: 7
  • Commit comment event: 1
  • Release event: 3
  • Delete event: 2
  • Member event: 1
  • Pull request event: 149
  • Fork event: 66
  • Issues event: 216
  • Watch event: 443
  • Issue comment event: 386
  • Push event: 80
  • Gollum event: 2
  • Pull request review comment event: 63
  • Pull request review event: 46
Last Year
  • Create event: 7
  • Commit comment event: 1
  • Release event: 3
  • Delete event: 2
  • Member event: 1
  • Pull request event: 149
  • Fork event: 66
  • Issues event: 216
  • Watch event: 443
  • Issue comment event: 386
  • Push event: 80
  • Gollum event: 2
  • Pull request review comment event: 63
  • Pull request review event: 46

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 11,650
  • Total Committers: 117
  • Avg Commits per committer: 99.573
  • Development Distribution Score (DDS): 0.778
Past Year
  • Commits: 248
  • Committers: 12
  • Avg Commits per committer: 20.667
  • Development Distribution Score (DDS): 0.641
Top Committers
Name Email Commits
janezd j****r@f****i 2,587
Ales Erjavec a****c@f****i 1,918
astaric a****c@g****m 1,048
Vesna Tanko t****a@h****m 948
Marko Toplak m****k@g****m 760
Lan Zagar l****r@f****i 608
Kernc k****e@g****m 501
Pavlin Poličar p****p@g****m 420
Rafael Irgolic h****o@i****m 354
PrimoΕΎ Godec p****9@g****m 344
Ajda Pretnar a****r@g****m 334
Jernej Urankar j****u@g****m 327
thocevar t****r@f****i 215
nikicc n****c@g****m 158
Andreja Kovacic k****a@g****m 96
thocevar d****l@l****t 90
Aleksandra a****n@g****m 84
BlazZupan b****n@f****i 84
robert r****c@g****m 79
matevzkren m****n@g****m 43
mstrazar m****r@g****m 43
jakakokosar j****r@g****m 40
acopar a****r@g****m 40
Marinka Zitnik m****a@z****i 34
Jure Bergant j****t@g****m 31
larazupan l****n@g****m 30
Jure Zbontar j****r@g****m 29
Martin Frlin m****n@g****m 29
Rok Gomiscek r****k@g****m 25
Tomaz Curk t****k@f****i 24
and 87 more...

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 400
  • Total pull requests: 516
  • Average time to close issues: 2 months
  • Average time to close pull requests: 20 days
  • Total issue authors: 171
  • Total pull request authors: 28
  • Average comments per issue: 1.93
  • Average comments per pull request: 1.6
  • Merged pull requests: 406
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 146
  • Pull requests: 186
  • Average time to close issues: 22 days
  • Average time to close pull requests: 15 days
  • Issue authors: 55
  • Pull request authors: 15
  • Average comments per issue: 0.6
  • Average comments per pull request: 1.54
  • Merged pull requests: 121
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • wvdvegte (57)
  • simonaubertbd (34)
  • janezd (33)
  • ajdapretnar (32)
  • markotoplak (14)
  • borondics (9)
  • kaimikael (9)
  • processo (8)
  • steltenpower (7)
  • belg4mit (6)
  • VesnaT (4)
  • BlazZupan (4)
  • PrimozGodec (3)
  • foongminwong (3)
  • alaindebecker (3)
Pull Request Authors
  • janezd (130)
  • markotoplak (90)
  • ales-erjavec (74)
  • VesnaT (57)
  • PrimozGodec (46)
  • ajdapretnar (21)
  • noahnovsak (15)
  • borondics (14)
  • JakaKokosar (12)
  • Anamari-ctrl (9)
  • ZanMervic (7)
  • anjamejac (7)
  • gmolledaj (6)
  • pavlin-policar (5)
  • BlazZupan (3)
Top Labels
Issue Labels
bug report (150) bug (54) snack (23) wish (20) meal (17) needs discussion (6) feast (5) follow up (2) potential student project (1) urgent (1)
Pull Request Labels
dask (26) needs discussion (3)

Packages

  • Total packages: 3
  • Total downloads:
    • pypi 21,842 last-month
  • Total dependent packages: 25
    (may contain duplicates)
  • Total dependent repositories: 20
    (may contain duplicates)
  • Total versions: 134
  • Total maintainers: 6
pypi.org: orange3

Orange, a component-based data mining framework.

  • Versions: 67
  • Dependent Packages: 10
  • Dependent Repositories: 16
  • Downloads: 21,842 Last month
Rankings
Dependent packages count: 1.0%
Stargazers count: 1.1%
Forks count: 1.3%
Average: 1.9%
Downloads: 2.3%
Dependent repos count: 3.6%
Last synced: 6 months ago
conda-forge.org: orange3

Open source data visualization and data analysis for novice and expert. Interactive workflows with a large toolbox.

  • Versions: 54
  • Dependent Packages: 15
  • Dependent Repositories: 2
Rankings
Dependent packages count: 4.2%
Forks count: 5.1%
Stargazers count: 5.7%
Average: 8.8%
Dependent repos count: 20.3%
Last synced: 6 months ago
anaconda.org: orange3

Open source data visualization and data analysis for novice and expert. Interactive workflows with a large toolbox.

  • Versions: 13
  • Dependent Packages: 0
  • Dependent Repositories: 2
Rankings
Forks count: 11.4%
Stargazers count: 12.6%
Average: 31.0%
Dependent repos count: 48.9%
Dependent packages count: 51.2%
Last synced: 6 months ago

Dependencies

.github/workflows/cancel.yml actions
  • styfle/cancel-workflow-action 0.8.0 composite
.github/workflows/doc.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
.github/workflows/rebase.yml actions
  • actions/checkout v2 composite
  • cirrus-actions/rebase 1.6 composite
.github/workflows/test.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • mcr.microsoft.com/mssql/server 2017-latest docker
  • orangedm/postgres 11 docker
.github/workflows/build-wheels.yaml actions
  • actions/checkout v3 composite
  • actions/download-artifact v2 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v3 composite
  • docker/setup-qemu-action v2 composite
  • pypa/cibuildwheel v2.15.0 composite
  • pypa/gh-action-pypi-publish release/v1 composite
  • shogo82148/actions-upload-release-asset v1.2.3 composite
doc/development/source/orange-demo/setup.py pypi