lightseekorg/tokenspeed
TokenSpeed is a speed-of-light LLM inference engine.
⚡ Executive Summary & Quick Facts
Authoritative Sourcetokenspeed is tokenspeed is an open-source project written in Python: TokenSpeed is a speed-of-light LLM inference engine..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), lightseekorg/tokenspeed has accumulated 2,921 GitHub stars and 410 forks. It is written in Python, licensed under MIT, and ranks #4,394 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
| Repository | lightseekorg/tokenspeed ↗ |
|---|---|
| Primary Category | b200 |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 2.9K stars · ⑂ 410 forks · #4,394 globally |
| Maintenance | ● Active (Last commit: Nov 12, 2026) · 105 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+Yes, tokenspeed is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (0 days ago). Supported by 2,921 stars and 410 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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Momentum
+729
STARS · LAST 30 DAYS
24
PER DAY
#659
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +77 | +729 | +2.2K |
| Per day | 11 | 24 | 24 |
| Forks gained | +19 | +100 | +21 |
tokenspeed gained 729 stars in the last 30 days, about 24 a day, and now has 2.9K. It is about 1 year old and has averaged roughly 2.9K stars a year. It ranks #659 among Python repositories and #4,394 across all languages on GitHubRepo.
Trending Record
42
DAYS ON TRENDING
#181
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tokenspeed has maintained a continuous presence across global trending indexes, peaking at #181. Below is the 30-day activity profile:
💡 Overview
tokenspeed is an open-source project written in Python: TokenSpeed is a speed-of-light LLM inference engine.
Engineered for speed, consistency, and developer ease, it solves common hurdles in b200, b300, blackwell. 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 tokenspeed
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
tokenspeed 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 tokenspeed.
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 tokenspeed using your package manager: `pip install tokenspeed`
Initialize your project workspace or configuration file for tokenspeed.
Import tokenspeed into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tokenspeed --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
lightseekorg/tokenspeed is currently ranked #4,394 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,389 | mnutt/hummingbird | JavaScript | ★ 2.9K | Compare ↗ |
| #4,389 | holepunchto/hypercore | JavaScript | ★ 2.9K | Compare ↗ |
| #4,391 | rnmapbox/maps | Kotlin | ★ 2.9K | Compare ↗ |
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| #4,393 | naver/egjs-flicking | TypeScript | ★ 2.9K | Compare ↗ |
| #4,394 | lightseekorg/tokenspeed This Project | Python | ★ 2.9K | |
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Frequently Asked Questions
What does tokenspeed do? +
TokenSpeed is a speed-of-light LLM inference engine.
Is tokenspeed actively maintained in 2026? +
Yes, tokenspeed is actively maintained. The latest code push was recorded on Nov 12, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 2,921 stars and 105 open issues.
What language is tokenspeed written in? +
The primary language is Python. Topics include: b200, b300, blackwell, deepseek, gb200.
How many stars does tokenspeed have? +
tokenspeed has 2,921 stars and 410 forks on GitHub.
How does tokenspeed rank among GitHub repositories? +
With 2,921 stars, lightseekorg/tokenspeed is ranked #4,394 globally across all repositories tracked on GitHubRepo and #659 among Python projects.
What license is tokenspeed distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.