pasteurlabs/tesseract-core
Universal components for differentiable scientific computing. :package:
⚡ Executive Summary & Quick Facts
Authoritative Sourcetesseract-core is tesseract-core is an open-source project written in Python: Universal components for differentiable scientific computing. :package:..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), pasteurlabs/tesseract-core has accumulated 135 GitHub stars and 26 forks. It is written in Python, licensed under Apache-2.0, and ranks #18,987 globally. It is actively maintained with the latest commit recorded on Oct 14, 2026.”
| Repository | pasteurlabs/tesseract-core ↗ |
|---|---|
| Primary Category | automatic differentiation |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 135 stars · ⑂ 26 forks · #18,987 globally |
| Maintenance | ● Active (Last commit: Oct 14, 2026) · 42 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: 88/100 · Grade AYes, tesseract-core is actively maintained. Continuous telemetry recorded the last code commit on Oct 14, 2026 (17 days ago). Supported by 135 stars and 26 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,419
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
tesseract-core gained 10 stars in the last 30 days, about 1 a day, and now has 135. It is about 2 years old and has averaged roughly 68 stars a year. It ranks #2,419 among Python repositories and #18,987 across all languages on GitHubRepo.
Trending Record
15
DAYS ON TRENDING
#13772
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tesseract-core has maintained a continuous presence across global trending indexes, peaking at #13772. Below is the 30-day activity profile:
💡 Overview
tesseract-core is an open-source project written in Python: Universal components for differentiable scientific computing. :package:.
Engineered for speed, consistency, and developer ease, it solves common hurdles in automatic-differentiation, containers, differentiable-physics. 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 tesseract-core⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
tesseract-core 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 tesseract-core.
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 tesseract-core using your package manager: `pip install tesseract-core`
Initialize your project workspace or configuration file for tesseract-core.
Import tesseract-core into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tesseract-core --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
pasteurlabs/tesseract-core is currently ranked #18,987 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #18,926 | egma-ai/jev-code-reviewer | JavaScript | ★ 136 | Compare ↗ |
| #18,926 | aliceisjustplaying/claude-paint | Python | ★ 136 | Compare ↗ |
| #18,926 | dancancer/RawLab | Swift | ★ 136 | Compare ↗ |
| #18,926 | wieslawsoltes/VB6 | JavaScript | ★ 136 | Compare ↗ |
| #18,926 | MiniMax-AI/mcode-stack | Python | ★ 136 | Compare ↗ |
| #18,987 | pasteurlabs/tesseract-core This Project | Python | ★ 135 | |
| #18,987 | abhay/calais | Ruby | ★ 135 | Compare ↗ |
| #18,987 | simonw/optfunc | Python | ★ 135 | Compare ↗ |
| #18,987 | adammck/pygsm | Python | ★ 135 | Compare ↗ |
| #18,987 | alexdej/puzpy | Python | ★ 135 | Compare ↗ |
| #18,987 | rspec/rspec-dev | Ruby | ★ 135 | Compare ↗ |
Frequently Asked Questions
What does tesseract-core do? +
Universal components for differentiable scientific computing. :package:
Is tesseract-core actively maintained in 2026? +
Yes, tesseract-core is actively maintained. The latest code push was recorded on Oct 14, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 135 stars and 42 open issues.
What language is tesseract-core written in? +
The primary language is Python. Topics include: automatic-differentiation, containers, differentiable-physics, differentiable-programming, remote-procedure-calls.
How many stars does tesseract-core have? +
tesseract-core has 135 stars and 26 forks on GitHub.
How does tesseract-core rank among GitHub repositories? +
With 135 stars, pasteurlabs/tesseract-core is ranked #18,987 globally across all repositories tracked on GitHubRepo and #2,419 among Python projects.
What license is tesseract-core distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
