Package Health Score

61 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

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48

Popularity

Small

GitHub Stars: 19.01K
Forks: 1.04K
Contributors: 70

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package langdash, we found that it has been starred 19,014 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 26, 2023
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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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

Inactive

Commit Frequency

Open Issues: 240
Open PR: 40
Last Release: 1 year ago
Last Commit: 19 days ago

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

An important project maintenance signal to consider for langdash is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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: Yes
Code of Conduct: No
Contributors: 70
Funding: No

With more than 10 contributors for the langdash repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like langdash is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 1 year
Latest Release: 1 year ago
Dependencies: N/A
Versions: 49
Maintainers: 1
Wheels: No

Readme

langdash

A simple library for interfacing with language models.

Currently in beta!

Features:

Support for guided text generation, text classification (through prompting) and vector-based document searching.
Lightweight, build-it-yourself-style prompt wrappers in pure Python, with no domain-specific language involved.
Token healing and transformers/RNN state reuse for fast inference, like in Microsoft's guidance.
First-class support for ggml backends.

Documentation: Read on readthedocs.io

Repository: main / Gitlab mirror

Installation

Use pip to install. By default, langdash does not come preinstalled with any additional modules. You will have to specify what you need like in the following command:

pip install --user langdash[embeddings,sentence_transformers]

List of modules:

core:
- embeddings: required for running searching through embeddings
backends:
- Generation backends: rwkv_cpp, llama_cpp, ctransformers, transformers
- Embedding backends: sentence_transformers

Note: If running from source, initialize the git submodules in the langdash/extern folder to compile foreign backends.

Usage

Examples:

See examples folder for full examples.

Running the Examples

All examples can be ran with the following command:

python examples/instruct.py [model type] [model name or path]

You can specify additional model parameters using the -ae CLI argument, and passing a valid Python literal. For example, to run the chat example using the WizardLM model with context length of 4096, do:

python examples/chat.py llama_cpp /path/to/ggml-wizardlm.bin -ae n_ctx 4096

Some examples require you to specify the prompt format. Formats include: wizardlm (shortened Alpaca format without the first prompt line and # Instruction:), and alpaca (the full format). You will need to specify it for most of the examples:

python examples/instruct.py llama_cpp /path/to/ggml-wizardlm.bin -ae n_ctx 4096 --prompt-format wizardlm

For a full list, see the examples/_instruct_format.py file.

License

Apache 2.0

FAQs

What is langdash?

A simple library for interfacing with language models. Visit Snyk Advisor to see a full health score report for langdash, including popularity, security, maintenance & community analysis.

Is langdash popular?

The python package langdash receives a total of 232 weekly downloads. As such, langdash popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is langdash well maintained?

We found indications that langdash is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is langdash safe to use?

The python package langdash 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 11 November-2024, at 09:59 (UTC).

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langdash

A simple library for interfacing with language models. For more information about how to use this package see README

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Readme

langdash

Installation

Usage

Running the Examples

License

FAQs

What is langdash?

Is langdash popular?

Is langdash well maintained?

Is langdash safe to use?

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Readme

langdash

Installation

Usage

Running the Examples

License

FAQs

What is langdash?

Is langdash popular?

Is langdash well maintained?

Is langdash safe to use?

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Source Code

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