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RayBytes
Home / Python / ChatMock

RayBytes/ChatMock

OpenAI & Ollama compatible API powered by Codex

Python ◇ ai MIT
★1.6KSTARS
⑂214FORKS
!12ISSUES
🏆#6,548GLOBAL RANK
🔥8DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

ChatMock is ChatMock is an open-source project written in Python: OpenAI & Ollama compatible API powered by Codex.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), RayBytes/ChatMock has accumulated 1,563 GitHub stars and 214 forks. It is written in Python, licensed under MIT, and ranks #6,548 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
Repository RayBytes/ChatMock ↗
Primary Category ai
Language & Stack Python
Software License MIT
Community Traction ★ 1.6K stars · ⑂ 214 forks · #6,548 globally
Maintenance ● Active (Last commit: Nov 2, 2026) · 12 open issues
Replaces SaaS Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) →
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 ChatMock actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, ChatMock is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (11 days ago). Supported by 1,563 stars and 214 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
11 days since last push
Issue Backlog
12 Open Issues
Healthy Issue Cadence
Community Backing
214 Forks
1.6K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for RayBytes/ChatMock
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Momentum

+39

STARS · LAST 30 DAYS

1

PER DAY

#948

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+39+90
Per day111
Forks gained+0+4+11

ChatMock gained 39 stars in the last 30 days, about 1 a day, and now has 1.6K. It is about 1 year old and has averaged roughly 1.6K stars a year. It ranks #948 among Python repositories and #6,548 across all languages on GitHubRepo.

Trending Record

ChatMock has maintained a continuous presence across global trending indexes, peaking at #9819. Below is the 30-day activity profile:

💡 Overview

ChatMock is an open-source project written in Python: OpenAI & Ollama compatible API powered by Codex.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, chatgpt, codex. 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 ChatMock

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ChatMock 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 ChatMock.

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

1

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

2

Initialize your project workspace or configuration file for ChatMock.

3

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

4

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

👍 Strengths

Active community backing with 1,563 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

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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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

RayBytes/ChatMock is currently ranked #6,548 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does ChatMock do? +

OpenAI & Ollama compatible API powered by Codex

Is ChatMock actively maintained in 2026? +

Yes, ChatMock is actively maintained. The latest code push was recorded on Nov 2, 2026 (11 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,563 stars and 12 open issues.

What language is ChatMock written in? +

The primary language is Python. Topics include: ai, chatgpt, codex, gpt-5, ollama.

How many stars does ChatMock have? +

ChatMock has 1,563 stars and 214 forks on GitHub.

How does ChatMock rank among GitHub repositories? +

With 1,563 stars, RayBytes/ChatMock is ranked #6,548 globally across all repositories tracked on GitHubRepo and #948 among Python projects.

What license is ChatMock distributed under? +

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

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