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dbos-inc/dbos-transact-py

Database-Backed Durable Python Workflows

★1.6KSTARS
⑂97FORKS
!6ISSUES
🏆#2,118GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for dbos-inc/dbos-transact-py
CSV

Momentum

+40

STARS · LAST 30 DAYS

1

PER DAY

#273

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+40+90
Per day111
Forks gained+1+3+10

dbos-transact-py gained 40 stars in the last 30 days, about 1 a day, and now has 1.6K. It is about 2 years old and has averaged roughly 796 stars a year. It ranks #273 among Python repositories and #2,118 across all languages on GitHubRepo.

Trending Record

dbos-transact-py has maintained a continuous presence across global trending indexes, peaking at #1441. Below is the 30-day activity profile:

💡 Overview

dbos-transact-py is an open-source project written in Python: Database-Backed Durable Python Workflows.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-workflow, cronjob-scheduler, dbos. 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 dbos-transact-py

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

dbos-transact-py 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 dbos-transact-py.

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 dbos-transact-py using your package manager: `pip install dbos-transact-py`

2

Initialize your project workspace or configuration file for dbos-transact-py.

3

Import dbos-transact-py into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `dbos-transact-py --help` to verify successful setup.

👍 Strengths

Active community backing with 1,590 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

dbos-inc/dbos-transact-py is currently ranked #2,118 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does dbos-transact-py do? +

Database-Backed Durable Python Workflows

What language is dbos-transact-py written in? +

The primary language is Python. Topics include: agentic-workflow, cronjob-scheduler, dbos, durable-execution, microservice-orchestration.

Is dbos-transact-py actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 6 open issues being tracked.

How many stars does dbos-transact-py have? +

dbos-transact-py has 1,592 stars and 97 forks on GitHub.

How does dbos-transact-py rank among GitHub repositories? +

With 1,592 stars, dbos-inc/dbos-transact-py is ranked #2,118 globally across all repositories tracked on GitHubRepo and #273 among Python projects.

What license is dbos-transact-py distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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