OpenSustain.tech Analytics Dashboard

OpenSustain Analytics is an interactive Streamlit dashboard that visualizes and explores the open-source ecosystem for climate and sustainability technologies. It provides insight into project activity, community engagement, and metadata across hundreds of sustainability-related open-source repositories.

See a live Dashboard at: Opensustain-analytics.streamlit.app

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🚀 Features

• 🌎 Sustainability Ecosystem (Sunburst) Interactive visualization of the open sustainability landscape — from categories down to individual projects.

• 📈 Age vs. Sub-Category (Scatter Plot) Displays project age distribution across sub-categories, with bubble sizes representing contributor counts.

• 🏆 Download Ranking Ranks the most-downloaded open-source sustainability packages.

• 📊 Project Rankings Sort projects by contributors, commits, citations, stars, and Ecosyste.ms scores.

• 🏅 Leaderboard Multi-metric leaderboard comparing projects across multiple indicators.

• 📊 Categorical Distributions Shows distributions for licenses, programming languages, presence of contributing guides, codes of conduct, and ecosystems.

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Data Fields

The dashboard uses a dataset called projects.csv with the following columns:

Field	Description
project_names	Project name
git_url	GitHub or GitLab repository URL
description	Short summary of the project
homepage	Project homepage
category	High-level topic (e.g., Energy, Water, Climate)
sub_category	More specific area (e.g., Solar PV, Air Quality)
language	Main programming language
license	Open-source license
contributors	Number of contributors
stars	GitHub stars
downloads_last_month	Download counts
total_commits	Total commits
citations	Number of citations
score	Ecosyste.ms score
dds	Development Distribution Score
ecosystems	Ecosystem or community tag
code_of_conduct	Whether the project has a Code of Conduct
contributing_guide	Whether the project has a contributing guide
readme_image_urls	Comma-separated URLs of images extracted from README files

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Installation

1. Clone the repository

   git clone https://github.com/protontypes/opensustain.analytics
   cd opensustain.analytics

2. Install dependencies

   pip install -r requirements.txt

3. Add your data Place your projects.csv and organization.csv file in the project directory.

4. Run the Streamlit app

   python3 -m streamlit run streamlit-app-tab.py