xingjian-bai/opal
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
⚡ Executive Summary & Quick Facts
Authoritative Sourceopal is opal is an open-source project written in Python: OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), xingjian-bai/opal has accumulated 444 GitHub stars and 26 forks. It is written in Python, licensed under MIT, and ranks #13,104 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
| Repository | xingjian-bai/opal ↗ |
|---|---|
| Primary Category | deep learning |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 444 stars · ⑂ 26 forks · #13,104 globally |
| Maintenance | ● Active (Last commit: Nov 11, 2026) · 0 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: 93/100 · Grade A+Yes, opal is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (1 days ago). Supported by 444 stars and 26 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+11
STARS · LAST 30 DAYS
1
PER DAY
#1,781
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +11 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
opal gained 11 stars in the last 30 days, about 1 a day, and now has 444. It is about 1 year old and has averaged roughly 444 stars a year. It ranks #1,781 among Python repositories and #13,104 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#15729
BEST RANK
Nov 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
opal has maintained a continuous presence across global trending indexes, peaking at #15729. Below is the 30-day activity profile:
💡 Overview
opal is an open-source project written in Python: OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
Engineered for speed, consistency, and developer ease, it solves common hurdles in deep-learning, llm-agents, optimizer. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install opal⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
opal 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with opal.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install opal using your package manager: `pip install opal`
Initialize your project workspace or configuration file for opal.
Import opal into your codebase or invoke it directly from your terminal.
Execute your test suite or run `opal --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
xingjian-bai/opal is currently ranked #13,104 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #13,094 | nats-io/nats.js | TypeScript | ★ 445 | Compare ↗ |
| #13,094 | muni-works/vcad | Rust | ★ 445 | Compare ↗ |
| #13,094 | yiliqi78/TOKENICODE | TypeScript | ★ 445 | Compare ↗ |
| #13,094 | anonvector/slipgate | Go | ★ 445 | Compare ↗ |
| #13,094 | notque/vexjoy-agent | Python | ★ 445 | Compare ↗ |
| #13,104 | xingjian-bai/opal This Project | Python | ★ 444 | |
| #13,104 | jgarber/redcloth | Ragel | ★ 444 | Compare ↗ |
| #13,104 | relevance/tarantula | Ruby | ★ 444 | Compare ↗ |
| #13,104 | ThomasHabets/arping | C | ★ 444 | Compare ↗ |
| #13,104 | jstrait/beats | Ruby | ★ 444 | Compare ↗ |
| #13,104 | mynyml/harmony | Ruby | ★ 444 | Compare ↗ |
Frequently Asked Questions
What does opal do? +
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
Is opal actively maintained in 2026? +
Yes, opal is actively maintained. The latest code push was recorded on Nov 11, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 444 stars and 0 open issues.
What language is opal written in? +
The primary language is Python. Topics include: deep-learning, llm-agents, optimizer, pytorch.
How many stars does opal have? +
opal has 444 stars and 26 forks on GitHub.
How does opal rank among GitHub repositories? +
With 444 stars, xingjian-bai/opal is ranked #13,104 globally across all repositories tracked on GitHubRepo and #1,781 among Python projects.
What license is opal distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
