lexiforest/curl_cffi
Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser tls/ja3/http2 fingerprints.
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+166
STARS · LAST 30 DAYS
6
PER DAY
#286
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +166 | +540 |
| Per day | 1 | 6 | 6 |
| Forks gained | +0 | +11 | +28 |
curl_cffi gained 166 stars in the last 30 days, about 6 a day, and now has 6.6K. It is about 5 years old and has averaged roughly 1.3K stars a year. It ranks #286 among Python repositories and #1,830 across all languages on GitHubRepo.
Trending Record
16
DAYS ON TRENDING
#2657
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
curl_cffi has maintained a continuous presence across global trending indexes, peaking at #2657. Below is the 30-day activity profile:
💡 Overview
curl_cffi is an open-source project written in Python: Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser tls/ja3/http2 fingerprints.
Engineered for speed, consistency, and developer ease, it solves common hurdles in akamai-fingerprint, curl, curl-impersonate. 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 curl_cffi⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
curl_cffi 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 curl_cffi.
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 curl_cffi using your package manager: `pip install curl_cffi`
Initialize your project workspace or configuration file for curl_cffi.
Import curl_cffi into your codebase or invoke it directly from your terminal.
Execute your test suite or run `curl_cffi --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
lexiforest/curl_cffi is currently ranked #1,830 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,825 | apache/zeppelin | Java | ★ 6.7K | Compare ↗ |
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| #1,827 | linkedin/Liger-Kernel | Python | ★ 6.6K | Compare ↗ |
| #1,829 | microsoft/FASTER | C# | ★ 6.6K | Compare ↗ |
| #1,830 | lexiforest/curl_cffi This Project | Python | ★ 6.6K | |
| #1,830 | automerge/automerge | JavaScript | ★ 6.6K | Compare ↗ |
| #1,832 | rust-lang/miri | Rust | ★ 6.6K | Compare ↗ |
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| #1,835 | zizmorcore/zizmor | Rust | ★ 6.6K | Compare ↗ |
Frequently Asked Questions
What does curl_cffi do? +
Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser tls/ja3/http2 fingerprints.
What language is curl_cffi written in? +
The primary language is Python. Topics include: akamai-fingerprint, curl, curl-impersonate, fingerprinting, http.
Is curl_cffi actively maintained? +
Yes, the last recorded push was on Oct 1, 2026 with 64 open issues being tracked.
How many stars does curl_cffi have? +
curl_cffi has 6,634 stars and 560 forks on GitHub.
How does curl_cffi rank among GitHub repositories? +
With 6,634 stars, lexiforest/curl_cffi is ranked #1,830 globally across all repositories tracked on GitHubRepo and #286 among Python projects.
What license is curl_cffi distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
