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run-llama/ParseBench

ParseBench - A Document Parsing Benchmark for AI Agents

Python ◇ benchmark Apache-2.0
★618STARS
⑂132FORKS
!34ISSUES
🏆#9,631GLOBAL RANK
🔥4DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

ParseBench is ParseBench is an open-source project written in Python: ParseBench - A Document Parsing Benchmark for AI Agents..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), run-llama/ParseBench has accumulated 618 GitHub stars and 132 forks. It is written in Python, licensed under Apache-2.0, and ranks #9,631 globally. It is actively maintained with the latest commit recorded on Oct 28, 2026.”
Repository run-llama/ParseBench ↗
Primary Category benchmark
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 618 stars · ⑂ 132 forks · #9,631 globally
Maintenance ● Active (Last commit: Oct 28, 2026) · 34 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: 93/100 · Grade A+
✅
Is ParseBench actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, ParseBench is actively maintained. Continuous telemetry recorded the last code commit on Oct 28, 2026 (4 days ago). Supported by 618 stars and 132 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 28, 2026
4 days since last push
Issue Backlog
34 Open Issues
Healthy Issue Cadence
Community Backing
132 Forks
618 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for run-llama/ParseBench
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Momentum

+15

STARS · LAST 30 DAYS

1

PER DAY

#1,296

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+15+90
Per day111
Forks gained+1+3+10

ParseBench gained 15 stars in the last 30 days, about 1 a day, and now has 618. It is about 1 year old and has averaged roughly 618 stars a year. It ranks #1,296 among Python repositories and #9,631 across all languages on GitHubRepo.

Trending Record

ParseBench has maintained a continuous presence across global trending indexes, peaking at #11036. Below is the 30-day activity profile:

💡 Overview

ParseBench is an open-source project written in Python: ParseBench - A Document Parsing Benchmark for AI Agents.

Engineered for speed, consistency, and developer ease, it solves common hurdles in benchmark, document-ai, document-parsing. 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 ParseBench

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ParseBench 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 ParseBench.

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 ParseBench using your package manager: `pip install ParseBench`

2

Initialize your project workspace or configuration file for ParseBench.

3

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

4

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

👍 Strengths

Active community backing with 618 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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.

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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

run-llama/ParseBench is currently ranked #9,631 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,618 olliw42/mLRS C ★ 619 Compare ↗
#9,618 marmotdata/marmot Go ★ 619 Compare ↗
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#9,618 winstonkoh87/Athena-Public Python ★ 619 Compare ↗
#9,618 jianruntech/geo-score Python ★ 619 Compare ↗
#9,631 run-llama/ParseBench This Project Python ★ 618
#9,631 lairdubois/lairdubois-opencutlist-sketchup-extension Ruby ★ 618 Compare ↗
#9,631 zapier/kubechecks Go ★ 618 Compare ↗
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Frequently Asked Questions

What does ParseBench do? +

ParseBench - A Document Parsing Benchmark for AI Agents

Is ParseBench actively maintained in 2026? +

Yes, ParseBench is actively maintained. The latest code push was recorded on Oct 28, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 618 stars and 34 open issues.

What language is ParseBench written in? +

The primary language is Python. Topics include: benchmark, document-ai, document-parsing, evaluation, llamaindex.

How many stars does ParseBench have? +

ParseBench has 618 stars and 132 forks on GitHub.

How does ParseBench rank among GitHub repositories? +

With 618 stars, run-llama/ParseBench is ranked #9,631 globally across all repositories tracked on GitHubRepo and #1,296 among Python projects.

What license is ParseBench distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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