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citylearn-project/CityLearn

Official reinforcement learning environment for demand response and load shaping

Python ◇ developer-tools MIT
★658STARS
⑂222FORKS
!13ISSUES
🏆#10,774GLOBAL RANK
🔥8DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

CityLearn is CityLearn is an open-source project written in Python: Official reinforcement learning environment for demand response and load shaping..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), citylearn-project/CityLearn has accumulated 658 GitHub stars and 222 forks. It is written in Python, licensed under MIT, and ranks #10,774 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
Repository citylearn-project/CityLearn ↗
Primary Category developer tools
Language & Stack Python
Software License MIT
Community Traction ★ 658 stars · ⑂ 222 forks · #10,774 globally
Maintenance ● Active (Last commit: Nov 2, 2026) · 13 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is CityLearn actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, CityLearn is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (10 days ago). Supported by 658 stars and 222 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 2, 2026
10 days since last push
Issue Backlog
13 Open Issues
Healthy Issue Cadence
Community Backing
222 Forks
658 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for citylearn-project/CityLearn
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[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/citylearn-project/CityLearn.svg?metric=featured)](https://githubrepo.cloud/repo/citylearn-project/CityLearn?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/citylearn-project/CityLearn.svg?metric=stars)](https://githubrepo.cloud/repo/citylearn-project/CityLearn?utm_source=readme_badge) [![GitHubRepo Velocity](https://githubrepo.cloud/badge/citylearn-project/CityLearn.svg?metric=velocity)](https://githubrepo.cloud/repo/citylearn-project/CityLearn?utm_source=readme_badge) [![Maintenance Health](https://githubrepo.cloud/badge/citylearn-project/CityLearn.svg?metric=health)](https://githubrepo.cloud/repo/citylearn-project/CityLearn?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/citylearn-project/CityLearn.svg?metric=rank)](https://githubrepo.cloud/repo/citylearn-project/CityLearn?utm_source=readme_badge)

Momentum

+16

STARS · LAST 30 DAYS

1

PER DAY

#1,515

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+16+90
Per day111
Forks gained+0+4+11

CityLearn gained 16 stars in the last 30 days, about 1 a day, and now has 658. It is about 7 years old and has averaged roughly 94 stars a year. It ranks #1,515 among Python repositories and #10,774 across all languages on GitHubRepo.

Trending Record

CityLearn has maintained a continuous presence across global trending indexes, peaking at #12064. Below is the 30-day activity profile:

💡 Overview

CityLearn is an open-source project written in Python: Official reinforcement learning environment for demand response and load shaping.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install CityLearn

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

CityLearn coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed CityLearn into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install CityLearn using your package manager: `pip install CityLearn`

2

Initialize your project workspace or configuration file for CityLearn.

3

Import CityLearn into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `CityLearn --help` to verify successful setup.

👍 Strengths

Active community backing with 658 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

citylearn-project/CityLearn is currently ranked #10,774 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,763 farming-labs/farm.js TypeScript ★ 659 Compare ↗
#10,763 saddam213/AmuseAI C# ★ 659 Compare ↗
#10,763 nickustinov/itsytv-macos Swift ★ 659 Compare ↗
#10,763 Latias94/merman Rust ★ 659 Compare ↗
#10,763 LivXue/dsh-plugin-shop TypeScript ★ 659 Compare ↗
#10,774 citylearn-project/CityLearn This Project Python ★ 658
#10,774 cassandra-rb/cassandra Ruby ★ 658 Compare ↗
#10,774 fabiocaccamo/django-colorfield Python ★ 658 Compare ↗
#10,774 karmab/kcli Python ★ 658 Compare ↗
#10,774 Zero-Tang/NoirVisor Rust ★ 658 Compare ↗
#10,774 JanssenProject/jans Java ★ 658 Compare ↗
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Frequently Asked Questions

What does CityLearn do? +

Official reinforcement learning environment for demand response and load shaping

Is CityLearn actively maintained in 2026? +

Yes, CityLearn is actively maintained. The latest code push was recorded on Nov 2, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 658 stars and 13 open issues.

What language is CityLearn written in? +

The primary language is Python. Topics include: software.

How many stars does CityLearn have? +

CityLearn has 658 stars and 222 forks on GitHub.

How does CityLearn rank among GitHub repositories? +

With 658 stars, citylearn-project/CityLearn is ranked #10,774 globally across all repositories tracked on GitHubRepo and #1,515 among Python projects.

What license is CityLearn distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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