View dspy on Snyk Open Source Advisor

Package Health Score

81 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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Popularity

Small

GitHub Stars: 20.21K
Forks: 1.53K
Contributors: 250

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package dspy, we found that it has been starred 20,207 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 13, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 163
Open PR: 52
Last Release: 8 days ago
Last Commit: 6 days ago

Further analysis of the maintenance status of dspy based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that dspy demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 250
Funding: No

A good and healthy external contribution signal for dspy project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.9

Age: 8 months
Latest Release: 3 days ago
Dependencies: 16 Direct
Versions: 53
Maintainers: 3
Wheels: OS Independent

Readme

DSPy: Programming—not prompting—Foundation Models

Documentation: DSPy Docs

DSPy is the framework for programming—rather than prompting—language models. It allows you to iterate fast on building modular AI systems and offers algorithms for optimizing their prompts and weights, whether you're building simple classifiers, sophisticated RAG pipelines, or Agent loops.

DSPy stands for Declarative Self-improving Python. Instead of brittle prompts, you write compositional Python code and use DSPy to teach your LM to deliver high-quality outputs. Learn more via our official documentation site or meet the community, seek help, or start contributing via this GitHub repo and our Discord server.

Documentation: dspy.ai

Please go to the DSPy Docs at dspy.ai

Installation

pip install dspy

To install the very latest from main:

pip install git+https://github.com/stanfordnlp/dspy.git

📜 Citation & Reading More

[Jun'24] Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
[Oct'23] DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
[Jul'24] Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
[Jun'24] Prompts as Auto-Optimized Training Hyperparameters
[Feb'24] Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
[Jan'24] In-Context Learning for Extreme Multi-Label Classification
[Dec'23] DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
[Dec'22] Demonstrate-Search-Predict: Composing Retrieval & Language Models for Knowledge-Intensive NLP

To stay up to date or learn more, follow @lateinteraction on Twitter.

The DSPy logo is designed by Chuyi Zhang.

If you use DSPy or DSP in a research paper, please cite our work as follows:

@inproceedings{khattab2024dspy,
  title={DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines},
  author={Khattab, Omar and Singhvi, Arnav and Maheshwari, Paridhi and Zhang, Zhiyuan and Santhanam, Keshav and Vardhamanan, Sri and Haq, Saiful and Sharma, Ashutosh and Joshi, Thomas T. and Moazam, Hanna and Miller, Heather and Zaharia, Matei and Potts, Christopher},
  journal={The Twelfth International Conference on Learning Representations},
  year={2024}
}
@article{khattab2022demonstrate,
  title={Demonstrate-Search-Predict: Composing Retrieval and Language Models for Knowledge-Intensive {NLP}},
  author={Khattab, Omar and Santhanam, Keshav and Li, Xiang Lisa and Hall, David and Liang, Percy and Potts, Christopher and Zaharia, Matei},
  journal={arXiv preprint arXiv:2212.14024},
  year={2022}
}

dspy dependencies

anyio backoff cachetools cloudpickle datasets diskcache httpx jinja2 json-repair openai optuna pandas regex requests tqdm ujson

FAQs

What is dspy?

DSPy. Visit Snyk Advisor to see a full health score report for dspy, including popularity, security, maintenance & community analysis.

Is dspy popular?

The python package dspy receives a total of 364 weekly downloads. As such, dspy popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is dspy well maintained?

We found that dspy demonstrated a healthy version release cadence and project activity. It has a community of 250 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is dspy safe to use?

The python package dspy was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 19 December-2024, at 00:52 (UTC).

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DSPy For more information about how to use this package see README

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Readme

DSPy: Programming—not prompting—Foundation Models

Documentation: dspy.ai

Installation

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dspy dependencies

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Readme

DSPy: Programming—not prompting—Foundation Models

Documentation: dspy.ai

Installation

📜 Citation & Reading More

dspy dependencies

FAQs

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Is dspy popular?

Is dspy well maintained?

Is dspy safe to use?

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