semvec/pypi-packages huggingface dataset:
essdiffraction 26.2.0
Diffraction data reduction for the European Spallation Source
Requires Python: >=3.11

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[![License: BSD 3-Clause](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](LICENSE)

# ESSdiffraction

## About

Diffraction data reduction for the European Spallation Source

## Installation

```sh
python -m pip install essdiffraction
```
essspectroscopy 26.2.0
Spectroscopy data reduction for the European Spallation Source 
Requires Python: >=3.11

[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](CODE_OF_CONDUCT.md)
[![PyPI badge](http://img.shields.io/pypi/v/essspectroscopy.svg)](https://pypi.python.org/pypi/essspectroscopy)
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/essspectroscopy/badges/version.svg)](https://anaconda.org/conda-forge/essspectroscopy)
[![License: BSD 3-Clause](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](LICENSE)

# ESSspectroscopy

## About

Spectroscopy data reduction for the European Spallation Source

## Installation

```sh
python -m pip install essspectroscopy
```
societal-costs-pipeline-2026-02-09-1600 0.1.0
Societal costs pipeline CLI.
Requires Python: >=3.9

# societal_costs

Workspace for the societal costs study.

## Crates

- `crates/costs_core` — core domain types, aggregation, pricing, and validation.
- `crates/costs_models` — two-part, Tweedie, and log-normal models + selection tools.
- `crates/costs_matching` — matching + balance diagnostics.
- `crates/costs_cohort` — cohort assignment + diagnostics.
- `crates/costs_components` — register-derived component builders (LMDB volume so far).
- `crates/costs_population` — population files + public stats QC.
- `crates/costs_pipeline_common` — config, errors, tracing, and shared helpers.
- `crates/costs_pipeline_io` — report/Arrow/CSV/JSON writers.
- `crates/costs_registers` — register ingestion flows (BEF/LPR/LMDB/VNDS/DOD/etc).
- `crates/costs_pipeline_core` — orchestration + analysis/matching/modeling logic.
- `crates/costs_pipeline` — thin facade that re-exports common/core/io APIs.

## LMDB example

See `crates/costs_pipeline/README.md` for the LMDB ingestion example.

## Pipeline config

Start from `pipeline.example.toml` and update the register file paths to match
your local dataset layout. Most SAS7BDAT paths accept either a single file
or a directory (all `.sas7bdat` files are loaded, sorted by name). You can
also set `base_path` in the config to prefix all relative register paths.
File filtering uses `study.data_*` and optional `study.baseline_*` /
`study.followup_*` windows to avoid reading out-of-scope files.
Event registers (VNDS/DOD/DODSAARS/DODSAASG) are **not** year-filtered.
If you use contact-based SCD classification, set
`components.lpr.scd_inpatient_contact_types` (or flip
`components.lpr.scd_allow_outpatient = true` to allow outpatient contacts).

Pipeline outputs include consolidated QC under `qc_summary.csv/json`, plus
step-specific outputs such as `lpr_episode_qc.csv`, `matching_outcome_qc.csv`,
`matching_parent_qc.csv`, and `population_public_stats.csv`.

For terminal progress and timing, set:
- `pipeline.progress = true`
- `pipeline.log_level = "info"` (or `debug`)

## Additional docs

- `docs/README.md` — onboarding index and quick-start path.
- `crates/costs_core/README.md` — core domain and aggregation usage.
- `crates/costs_models/README.md` — model APIs and examples.
- `crates/costs_models/examples/README.md` — runnable model examples.
- `crates/costs_components/README.md` — LMDB note (missing price fields).
- `crates/costs_pipeline/README.md` — pipeline usage and LMDB example.
- `docs/notes/pipeline_contracts.md` — step-level inputs, outputs, invariants.
docu-devs-api-client 1.6.1
A client library for accessing DocuDevs API
Requires Python: <4.0,>=3.9
Keywords: ai document processing, docudevs client, document processing, document to data, ocr

# Docudevs api client

This is a client-library for docudevs API, the most accurate document to data service.
Documentation available at [docs.docudevs.ai](https://docs.docudevs.ai/)

## Installation

```bash
pip install docu-devs-api-client
```
libresvip 2.2.0
Universal Converter for Singing Voice Projects
Requires Python: <3.15,>=3.10

# LibreSVIP

[![PyPi](https://img.shields.io/pypi/v/libresvip)](https://pypi.org/project/libresvip/)
[![Python Version](https://img.shields.io/pypi/pyversions/libresvip.svg)](https://pypi.org/project/libresvip/)
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[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
[![Checked with pyrefly](https://img.shields.io/endpoint?url=https://pyrefly.org/badge.json)](https://github.com/facebook/pyrefly/)
[![License](https://img.shields.io/pypi/l/libresvip?color=blue)](https://opensource.org/licenses/MIT)
[![GitHub Build](https://img.shields.io/github/actions/workflow/status/SoulMelody/LibreSVIP/package.yml?label=packaging)](https://github.com/SoulMelody/LibreSVIP/actions/workflows/package.yml?query=workflow%3APackaging)
[![lite-badge](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://soulmelody.github.io/libresvip-pwa/)

LibreSVIP is a cross-platform and universal converter for many Singing Voice Synthesis (aka SVS) project formats.

## Installation

Download from github releases: [Releases](https://github.com/SoulMelody/LibreSVIP/releases)

Alternatively, you can install LibreSVIP with desktop support via pip (requires python 3.10+):

```bash
pip install libresvip[desktop]
```

## Translations

![zh-CN translation](https://img.shields.io/badge/dynamic/json?color=blue&label=zh-CN&style=flat&logo=crowdin&query=%24.progress%5B2%5D.data.translationProgress&url=https%3A%2F%2Fbadges.awesome-crowdin.com%2Fstats-16219268-645830.json)
![ja translation](https://img.shields.io/badge/dynamic/json?color=blue&label=ja&style=flat&logo=crowdin&query=%24.progress%5B1%5D.data.translationProgress&url=https%3A%2F%2Fbadges.awesome-crowdin.com%2Fstats-16219268-645830.json)
![de translation](https://img.shields.io/badge/dynamic/json?color=blue&label=de&style=flat&logo=crowdin&query=%24.progress%5B0%5D.data.translationProgress&url=https%3A%2F%2Fbadges.awesome-crowdin.com%2Fstats-16219268-645830.json)

If you also want to add or contribute to a translation, check [LibreSVIP's page on Crowdin](https://crowdin.com/project/libresvip).

## References

This project is highly inspired by following projects:

- [OpenSVIP](https://github.com/yqzhishen/opensvip)
- [Utaformatix3](https://github.com/sdercolin/utaformatix3)

Other projects that are related to this project:

- [QNrbf](https://github.com/SineStriker/QNrbf)

The following article will give you a brief introduction about python libraries for text and binary parsing:

- [Parsing In Python: Tools And Libraries](https://tomassetti.me/parsing-in-python/)

## License

LibreSVIP is open-sourced software licensed under the [MIT license](https://opensource.org/licenses/MIT).