harbor-framework/terminal-bench-science
Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains
⚡ Executive Summary & Quick Facts
Authoritative Sourceterminal-bench-science is terminal-bench-science is an open-source project written in Python: Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), harbor-framework/terminal-bench-science has accumulated 854 GitHub stars and 532 forks. It is written in Python, licensed under Apache-2.0, and ranks #9,411 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
| Repository | harbor-framework/terminal-bench-science ↗ |
|---|---|
| Primary Category | agentic ai |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 854 stars · ⑂ 532 forks · #9,411 globally |
| Maintenance | ● Active (Last commit: Nov 9, 2026) · 588 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: 92/100 · Grade AYes, terminal-bench-science is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (4 days ago). Supported by 854 stars and 532 community forks, this repository holds a calculated health index of 92/100, reflecting very active (commits within last 14 days) and active community feedback (588 open).
Star History
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Momentum
+21
STARS · LAST 30 DAYS
1
PER DAY
#1,362
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +21 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +3 | +11 | +27 |
terminal-bench-science gained 21 stars in the last 30 days, about 1 a day, and now has 854. It is about 1 year old and has averaged roughly 854 stars a year. It ranks #1,362 among Python repositories and #9,411 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#12592
BEST RANK
Nov 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
terminal-bench-science has maintained a continuous presence across global trending indexes, peaking at #12592. Below is the 30-day activity profile:
💡 Overview
terminal-bench-science is an open-source project written in Python: Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-ai, ai-for-science, ai4science. 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 terminal-bench-science
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
terminal-bench-science 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 terminal-bench-science.
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 terminal-bench-science using your package manager: `pip install terminal-bench-science`
Initialize your project workspace or configuration file for terminal-bench-science.
Import terminal-bench-science into your codebase or invoke it directly from your terminal.
Execute your test suite or run `terminal-bench-science --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
harbor-framework/terminal-bench-science is currently ranked #9,411 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does terminal-bench-science do? +
Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains
Is terminal-bench-science actively maintained in 2026? +
Yes, terminal-bench-science is actively maintained. The latest code push was recorded on Nov 9, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 854 stars and 588 open issues.
What language is terminal-bench-science written in? +
The primary language is Python. Topics include: agentic-ai, ai-for-science, ai4science.
How many stars does terminal-bench-science have? +
terminal-bench-science has 854 stars and 532 forks on GitHub.
How does terminal-bench-science rank among GitHub repositories? +
With 854 stars, harbor-framework/terminal-bench-science is ranked #9,411 globally across all repositories tracked on GitHubRepo and #1,362 among Python projects.
What license is terminal-bench-science distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.