semvec/pypi-packages huggingface dataset:
mison 1.4.0
MIcroService Organisational Network mining
Requires Python: >=3.10
Keywords: microservice, network, collaboration, mining

# MiSON - MicroService Organisational Network mining tool

Welcome to the page of MiSON tool.

The tool allows you to:
- Mine commits of a git/GitHub repository with the modified files
- Contruct a developer collaborations network based on how developers co-edit files and microservices

For more information see the Wiki pages.
quantiletools 0.1.0
Custom quantile calculation tools using Hyndman & Fan (1996) methods.
Requires Python: >=3.6

# quantiletools

`quantiletools` is a Python package that implements the 9 quantile types defined in Hyndman & Fan (1996), with pure Python logic and no dependency on NumPy's `np.quantile()` methods.

---

## 🚀 Features

- Implements Types 1–9 from Hyndman & Fan (1996)
- No reliance on `np.quantile(method=...)`
- Dataset-level and group-level quantile summaries
- Fully vectorized for performance

---

## 📦 Installation

If downloaded locally:

```bash
pip install .

## 📚 Example Usage

```python
# Import from package 
from quantiletools import quantiles_for_vars, quantiles_by_group

# Example DataFrame
import pandas as pd
import numpy as np

df = pd.DataFrame({
    "X1": np.random.randn(10),
    "X2": np.random.randn(10),
    "Group": np.random.choice(["A", "B"], size=10)
})

# Compute quantiles
quantiles_for_vars(df, ["X1", "X2"], probs=[0.1, 0.5, 0.9], qtype=[1, 7])
asap3 3.13.10
ASAP - classical potentials for MD with ASE.
Requires Python: >=3.9

ASAP - Large scale molecular dynamics
=====================================

ASAP is a calculator for doing large-scale molecular dynamics (MD) within
the Atomic Simulation Environment.  The focus of ASAP is on
solid-state physics (as opposed to molecular chemistry), and in
particular metallic systems.

The documentation and manual can be found on the ASAP webpage: 
https://wiki.fysik.dtu.dk/asap

This project depends on the Atomic Simulation Environment (ASE):

* ASE homepage: https://ase-lib.org/

* ASE GitLab page: https://gitlab.com/ase/ase


INSTALLATION
------------

Please read the online installation guide:
https://asap3.readthedocs.io/en/latest/installation/Installation.html

Quick summary:

::

   pip install asap3 --user
   

MANUAL AND DOCUMENTATION
------------------------

https://asap3.readthedocs.io/en/latest/manual/Manual.html


DIRECTORY STRUCTURE
-------------------

The code is organized as follows

Basics:

  The source files for the central parts of Asap, including the calculators.

Brenner:

  The library for the Brenner potential.

Debug:

  Files helpful when debugging.

Examples:

  Example scripts.

Interface:

  The C++/Python interface.

OpenKIMexport:

  Files used for autogenerating code to contribute Asap potentials to
  the OpenKIM project.

OpenKIMimport:

  Using OpenKIM potentials within Asap.

Parallel:

  Source code for parallel simulations using MPI.

ParallelInterface:

  The C++/Python interface for parallel simulation

Python:

  The Python modules.

Test:

  The test suite.

Tools:

  C++ parts of analysis tools

scripts:

  Python scripts, mainly useful for the developers.
  

License
-------

This project is released under the Lesser GNU Public LIcense
version 3.

A few files are dual licensed and can also be used under the Common Development
and Distribution License (CDDL) version 1.0, at the choice of the
user.

The license is found in the files ``COPYING`` and ``COPYING.LESSER``.
pyterrier-services 0.4.5
PyTerrier components for API Services
Requires Python: >=3.6

# pyterrier-services

PyTerrier components for online retrieval services, including:

 - DBLP
 - Pinecone
 - Semantic Scholar
 - Google Web Search

More information can be found in the [documentation](https://pyterrier.readthedocs.io/en/latest/ext/pyterrier-services).

## Example: Retrieval from Semantic Scholar

[Semantic Scholar](https://www.semanticscholar.org/me/research) is a scientific literature
search engine provided by the [Allen Institute for AI](https://allenai.org/).

`SemanticScholarApi()` provides access to the [search API](https://www.semanticscholar.org/product/api).

Example:

```python
>>> from pyterrier_services import SemanticScholarApi
>>> service = SemanticScholarApi()
>>> retriever = service.retriever()
>>> retriever.search('PyTerrier')
# qid      query                                     docno  score  rank                                              title                                           abstract
#   1  pyterrier  7fa92ed08eee68a945884b8744e7db9887aed9d3      0     0  PyTerrier: Declarative Experimentation in Pyth...  PyTerrier is a Python-based retrieval framewor...
#   1  pyterrier  a6b1126e058262c57d36012d0fdedc2417ad04e1     -1     1  Declarative Experimentation in Information Ret...  The advent of deep machine learning platforms ...
#   1  pyterrier  833b453c621099bccca028752aaa74262123706a     -2     2  PyTerrier-based Research Data Recommendations ...  Research data is of high importance in scienti...
#   1  pyterrier  73feb5cfe491342d52d47e8817d113c072067306     -3     3      The Information Retrieval Experiment Platform  We integrate irdatasets, ir_measures, and PyTe...
#   1  pyterrier  90b8a1adae2761e48c87fdeb68a595dc11161970     -4     4  QPPTK@TIREx: Simplified Query Performance Pred...  We describe our software submission to the ECI...
#   1  pyterrier  6659b3daabfb7e8e6dd8c4f47e2a774816888a9d     -5     5  Retrieving Comparative Arguments using Ensembl...  In this paper, we present a submission to the ...
#   1  pyterrier  2e503f3c23384a2112c84986c0a38c9cf6bf2488     -6     6      The Information Retrieval Experiment Platform  In this extended abstract, 1 we present the In...
#   1  pyterrier  4f901502b389e16faaf26eef7c935ecd80700f3d     -7     7  The Information Retrieval Experiment Platform ...  We have built TIREx, the information retrieval...
#   1  pyterrier  12c9b48d013255248378f23b7078e1788b5b1ef6     -8     8  Axiomatic Retrieval Experimentation with ir_ax...  Axiomatic approaches to information retrieval ...
#   1  pyterrier  b7da554d9f1f51e13a852ab0270dcd0d824c52e8     -9     9                        A Python Interface to PISA!  PISA (Performant Indexes and Search for Academ...
#   1  pyterrier  e57c05d3eb9c2d32332dc539d32e78f2b1fb05a6    -10    10  University of Glasgow Terrier Team and UFMG at...  For TREC 2020, we explore different re-ranking...
#   1  pyterrier  81ec8a40deb82470438d978b013a0f6094ec8843    -11    11  IR From Bag-of-words to BERT and Beyond throug...  The task of adhoc search is undergoing a renai...
```
ipf 1.9.4
ACCESS Information Publishing Framework
Requires Python: >=3.6
Keywords: monitoring, information, gathering, publishing, glue2

# IPF - Information Publishing Framework

## Project Home
https://github.com/access-ci-org/ipf


## Installation Guide
https://github.com/access-ci-org/ipf/blob/master/docs/install.md


## Support Information
This software is currently maintained by the ACCESS CONECT project.

The source is maintained in the [ACCESS-CI GitHub](https://github.com/access-ci-org/ipf).  ACCESS-CI resource providers and other members of the ACCESS-CI community are encourage to contribute bug fixes and improvements.

Software bugs may be reported as GitHub issues.  ACCESS-CI related support requests should be submitted through the ACCESS-CI ticket system.