semvec/pypi-packages huggingface dataset:
yt-dlp-rajiko 1.11
improved radiko.jp extractor for yt-dlp (fast and areafree)
Requires Python: >=3.8

# yt-dlp-rajiko

yt-dlp-rajiko is an improved [radiko.jp](https://radiko.jp) extractor plugin for yt-dlp.

### [日本語](https://427738.xyz/yt-dlp-rajiko/index.ja.html)

## Installation

[Download the plugin bundle](https://427738.xyz/yt-dlp-rajiko/dl/yt_dlp_rajiko-latest.bundle.zip) or `pip install yt-dlp-rajiko`

Requires yt-dlp 2025.02.19 or above.

Use the pip command if you installed yt-dlp with pip. If you installed
yt-dlp with `pipx`, use `pipx inject yt-dlp yt-dlp-rajiko` to install
the plugin in yt-dlp's environment.

Otherwise, download the plugin bundle, and place it in one of these locations:

  - `~/.config/yt-dlp/plugins/` (on Linux and Mac)
  - `%appdata%/yt-dlp/plugins/` (on Windows)
  - a `yt-dlp-plugins` folder next to your `yt-dlp.exe` (<a href="https://427738.xyz/yt-dlp-rajiko/i/installation-pluginsfolder.png">like this</a>)
  - anywhere else listed in [the yt-dlp
    documentation](https://github.com/yt-dlp/yt-dlp#installing-plugins).

You'll have to create those folders if they don't already exist.
There is no need to unzip the plugin bundle.

More information about yt-dlp plugins is available from [yt-dlp's documentation](https://github.com/yt-dlp/yt-dlp#plugins).

## More info

[Please see the website for more information](https://427738.xyz/yt-dlp-rajiko/) (usage, contact methods, etc)

[日本語訳もあります](https://427738.xyz/yt-dlp-rajiko/index.ja.html)

## notes about this repository

this is just where the source code and bug tracker live. most of the info is on the website.

Generally you should use the release versions.
`master` branch usually works, but should be considered experimental and may have bugs
wattleflow-workflow 0.0.0.59
Wattleflow Workflow - Data engineering framework.
Requires Python: >=3.9
Keywords: wattleflow, workflow, data, engineering, framework, python, library, software engineering

# WattleFlow Workflow Framework

![WattleFlow Logo](doc/wattleflow.png)

WattleFlow—graceful flow,
modular, scaled with purpose,
patterns guide the stream,
extensible, clear design,
built to last and grow.

---

| Characteristic           | Value                                                                   |
| ------------------------ | ----------------------------------------------------------------------- |
| **Version**              | 0.0.0.59 (latest release)                                               |
| **License**              | Apache 2.0 License                                                      |
| **Python Compatibility** | Python >=3.9                                                            |
| **Dependencies**         | wattleflow                                                              |
| **Size**                 | nimble                                                                  |
| **Documentation**        | [WattleFlow Core Documentation](https://github.com/wattleflow/docs.git) |


# WattleFlow Workflow
WattleFlow `Workflow` is a data engineering framework for flow-based programming, built on well-defined design patterns.
It offers a modular and scalable architecture for integrating diverse subsystems, enabling flexible and efficient workflow orchestration.

# Installation
```bash

pip install wattleflow-workflow

```


# Key Features

---

| Key Features         | Characteristic                                                             |
| ---------------------| -------------------------------------------------------------------------- |
| Modular Architecture | Designed for extensibility and maintainability.                            |
| Code Reusability     | Facilitates development by encouraging the reuse of framework components.  |
| Secure by Design     | Developed with a focus on simplicity and no unnecessary security exposure. |
| Scalable and Clear   | Suitable for both small and enterprise-level workflow orchestration.       |


# Documentation
Comprehensive documentation will be available at the [Git Hub](https://github.com/wattleflow/docs.git).

# Contributing
We welcome contributions! Please check our GitHub repository for guidelines.

# License
WattleFlow Core is licensed under the Apache 2.0 License. 
See the LICENSE file for more details.
chromasql 1.8.0
SQL-like DSL for planning and executing scoped ChromaDB queries.
Requires Python: >=3.9
Keywords: chromadb, sql, dsl, vector-search

# ChromaSQL

ChromaSQL is a lightweight SQL-flavoured DSL that makes it easy to express
queries against ChromaDB collections. It wraps ChromaDB’s `collection.query`
and `collection.get` APIs with a familiar syntax and provides utilities for
parsing, semantic planning, execution, and multi-collection fan-out.

## Features

- Lark-based parser that converts SQL-like strings into typed AST nodes.
- Planner that translates the AST into validated `QueryPlan` objects ready for
  ChromaDB execution.
- Thin executor that orchestrates vector and filter queries, applies ordering
  and pagination, and normalises result rows.
- Optional multi-collection helpers and adapters for routing queries across
  sharded datasets.
- Analysis helpers for extracting metadata-driven routing hints.

For a clause-by-clause walkthrough, see `TUTORIAL.md`. Additional usage notes
and examples live in `EXAMPLES.md`, while edge cases for OR-based routing are
documented in `OR_ROUTING_EDGE_CASES.md`.

## Installation

```bash
pip install chromasql
```

## Quickstart

```python
from chromasql import parse, build_plan, execute_plan

query = parse(
    """
    SELECT id, document
    FROM products
    USING EMBEDDING (TEXT 'mesh office chair')
    TOPK 5;
    """
)

plan = build_plan(query)
result = execute_plan(plan, collection=my_chroma_collection, embed_fn=my_embed_fn)

for row in result.rows:
    print(row["id"], row["document"])
```

## Development

We publish `chromasql` from this monorepo. Use the helper scripts in
`scripts/` to build wheels, upload to PyPI, or synchronise the public mirror.
See `CONTRIBUTING.md` for architectural background and testing guidelines.