eLifePathways/sciencebeam-parser
A set of tools to allow PDF to XML conversion, utilising Apache Beam and other tools. The aim of this project is to bring multiple tools together to generate a full XML document.
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#814
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
sciencebeam-parser gained 10 stars in the last 30 days, about 1 a day, and now has 299. It is about 9 years old and has averaged roughly 33 stars a year. It ranks #814 among Python repositories and #6,496 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#6212
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
sciencebeam-parser has maintained a continuous presence across global trending indexes, peaking at #6212. Below is the 30-day activity profile:
💡 Overview
sciencebeam-parser is an open-source project written in Python: A set of tools to allow PDF to XML conversion, utilising Apache Beam and other tools. The aim of this project is to bring multiple tools together to generate a full XML document.
Engineered for speed, consistency, and developer ease, it solves common hurdles in grobid, sciencebeam. 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 sciencebeam-parser
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
sciencebeam-parser 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
Production System Integration
Embed sciencebeam-parser into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install sciencebeam-parser using your package manager: `pip install sciencebeam-parser`
Initialize your project workspace or configuration file for sciencebeam-parser.
Import sciencebeam-parser into your codebase or invoke it directly from your terminal.
Execute your test suite or run `sciencebeam-parser --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
eLifePathways/sciencebeam-parser is currently ranked #6,496 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,483 | dapr/java-sdk | Java | ★ 300 | Compare ↗ |
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| #6,483 | Koenvh1/ets2-local-radio | JavaScript | ★ 300 | Compare ↗ |
| #6,496 | eLifePathways/sciencebeam-parser This Project | Python | ★ 299 | |
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Frequently Asked Questions
What does sciencebeam-parser do? +
A set of tools to allow PDF to XML conversion, utilising Apache Beam and other tools. The aim of this project is to bring multiple tools together to generate a full XML document.
What language is sciencebeam-parser written in? +
The primary language is Python. Topics include: grobid, sciencebeam.
Is sciencebeam-parser actively maintained? +
Yes, the last recorded push was on Oct 1, 2026 with 10 open issues being tracked.
How many stars does sciencebeam-parser have? +
sciencebeam-parser has 299 stars and 32 forks on GitHub.
How does sciencebeam-parser rank among GitHub repositories? +
With 299 stars, eLifePathways/sciencebeam-parser is ranked #6,496 globally across all repositories tracked on GitHubRepo and #814 among Python projects.
What license is sciencebeam-parser distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.