semvec/pypi-packages huggingface dataset:
pyeasyphd 0.5.0.2
pyeasyphd
Requires Python: >=3.12
Keywords: BibTex, Python

# pyeasyphd

![Visitors](https://visitor-badge.laobi.icu/badge?page_id=Easy-PhD.pyeasyphd)
[![License](https://img.shields.io/badge/license-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyeasyphd)
[![PyPI](https://img.shields.io/pypi/v/pyeasyphd)](https://pypi.org/project/pyeasyphd/)
[![Commitizen friendly](https://img.shields.io/badge/commitizen-friendly-brightgreen.svg)](http://commitizen.github.io/cz-cli/)
pybibtexer 0.3.42.1
pybibtexer
Requires Python: >=3.12
Keywords: BibTex, Python

# pybibtexer

![Visitors](https://visitor-badge.laobi.icu/badge?page_id=Easy-PhD.pybibtexer)
[![License](https://img.shields.io/badge/license-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pybibtexer)
[![PyPI](https://img.shields.io/pypi/v/pybibtexer)](https://pypi.org/project/pybibtexer/)
[![Commitizen friendly](https://img.shields.io/badge/commitizen-friendly-brightgreen.svg)](http://commitizen.github.io/cz-cli/)
mapper-core 0.8.0
Core TDA functionality for BluelightAI Cobalt
Requires Python: >=3.9

# mapper-core

`mapper-core` is part of [Cobalt](https://cobalt.bluelightai.com), a toolkit for
illuminating and improving AI models and datasets. It implements the core
topological data analysis functionality that powers Cobalt's model introspection
capabilities.

Visit our website at [bluelightai.com](https://bluelightai.com).
lumis-ai 0.1.1a7
An AI agent framework for building LLM-powered applications
Requires Python: >=3.11
Keywords: agents, ai, embeddings, llm, nlp, vector-search

# lumis

An AI agent framework for building LLM-powered applications with multi-provider LLM support, graph-based workflows, vector storage, and NLP pipelines.

## Features

- **Multi-provider LLMs** — Unified interface across OpenAI, Gemini, Ollama, and Perplexity with middleware support and automatic token counting
- **Agents** — ReAct, research, and graph-based agent architectures with event-driven lifecycle hooks
- **Graph Workflows** — Composable, stateful DAG execution with sync and async node support
- **Embeddings** — OpenAI and HuggingFace embedding backends
- **Vector Storage** — Chroma and FAISS vector database integrations
- **NLP** — Named entity recognition, summarization, semantic parsing, and coreference resolution
- **Search & Tools** — Web scraping, arXiv, Wikipedia, Yahoo Finance, Google Trends, and Tavily integrations
- **Memory** — Pluggable memory backends for stateful agent conversations

## Installation

```bash
pip install lumis-ai
```

### Optional extras

Some integrations are opt-in to keep the base install lighter:

| Extra      | What it adds                                  | Install                           |
|------------|-----------------------------------------------|-----------------------------------|
| `spacy`    | NER, fact extraction, coreference resolution  | `pip install lumis-ai[spacy]`     |
| `search`   | arXiv, Google Trends, Yahoo Finance           | `pip install lumis-ai[search]`    |
| `django`   | Django ORM memory backend                     | `pip install lumis-ai[django]`    |

The `spacy` extra requires language models. After installing, download them:

```bash
python -m spacy download en_core_web_lg
python -m spacy download en_core_web_trf
```

## License

MIT — see [LICENSE](LICENSE) for details.