# crowd-kit

> Control the quality of your labeled data with the Python tools you already know.

**Wikidata**: [Q127485286](https://www.wikidata.org/wiki/Q127485286)  
**Source**: https://4ort.xyz/entity/crowd-kit

## Summary
Crowd-kit is a software component designed to control the quality of labeled data using Python tools. It functions as a computational utility for processing and managing data accuracy, specifically within the context of "Learning from Crowds." The tool is maintained as a stable software release with a dedicated source code repository.

## Key Facts
- **Entity Type:** Software (non-tangible executable component).
- **Primary Function:** Controls the quality of labeled data using Python.
- **Source Code Repository:** Hosted on GitHub at `https://github.com/Toloka/crowd-kit`.
- **Official Documentation:** Available at `https://crowd-kit.readthedocs.io/en/latest/`.
- **Latest Recorded Major Version:** Version 1.0.0 (Stable), released on March 22, 2022.
- **Initial Release:** Version 0.0.1 (Stable), released on March 2, 2021.
- **Academic Source:** Described by the source "Learning from Crowds with Crowd-Kit."

## FAQs
### Q: What is the primary purpose of crowd-kit?
A: Crowd-kit is designed to help users control the quality of their labeled data. It achieves this by utilizing standard Python tools that developers and data scientists are already familiar with.

### Q: Where can the source code and documentation for crowd-kit be found?
A: The source code is hosted on GitHub under the repository `Toloka/crowd-kit`. Official documentation and guides are accessible via Read the Docs at `crowd-kit.readthedocs.io`.

### Q: When was the first stable version of crowd-kit released?
A: The first stable version, version 0.0.1, was released on March 2, 2021. The project reached a version 1.0.0 milestone on March 22, 2022.

## Why It Matters
Crowd-kit addresses a critical bottleneck in data science and machine learning: the assurance of data quality, particularly in crowdsourced environments. Raw data gathered from crowds often contains noise, errors, or inconsistencies. Crowd-kit provides a programmatic solution to filter and aggregate this data to ensure higher accuracy for model training.

By integrating with the Python ecosystem, it lowers the technical barrier for implementation, allowing practitioners to apply complex quality control algorithms without leaving their existing development environments. The software's rapid release cycle—from version 0.0.1 in early 2021 to version 1.0.0 in early 2022—demonstrates a period of active development and responsiveness to user needs. This makes it a relevant tool for any workflow reliant on high-integrity labeled datasets, formally categorized under the "Learning from Crowds" domain.

## Notable For
- **Python Integration:** Unlike proprietary or standalone data validation tools, Crowd-kit is built specifically for the Python ecosystem.
- **Crowd Learning Specialization:** It is distinctively associated with "Learning from Crowds" methodologies, focusing specifically on the nuances of aggregated human-labeled data.
- **Rapid Development Cycle:** The project transitioned from an initial stable release (0.0.1) to a major stable release (1.0.0) within one year (March 2021 to March 2022).
- **Open Source Accessibility:** It is maintained as an open-source software component with transparent release history and public code repositories.

## Body

### Functionality and Classification
Crowd-kit is classified as software, defined as a non-tangible executable component of a computer. Its core description emphasizes the ability to "control the quality of your labeled data with the Python tools you already know." It serves as a practical implementation of theories found in the academic and technical source "Learning from Crowds with Crowd-Kit."

### Development History and Releases
The software has a traceable history of stable releases throughout 2021 and into 2022. The development timeline indicates frequent updates during its first year.

**2021 Releases:**
- **0.0.1:** Released March 2, 2021.
- **0.0.2:** Released April 7, 2021.
- **0.0.3:** Released April 12, 2021.
- **0.0.4:** Released May 19, 2021.
- **0.0.5:** Released July 18, 2021.
- **0.0.6:** Released August 18, 2021.
- **0.0.7:** Released September 2, 2021.
- **0.0.8:** Released October 14, 2021.
- **0.0.9:** Released November 30, 2021.

**2022 Releases:**
- **1.0.0:** Released March 22, 2022.

### Technical Resources
The project maintains a digital footprint through its official website and code repository.
- **Website:** `https://crowd-kit.readthedocs.io/en/latest/`
- **Repository:** `https://github.com/Toloka/crowd-kit`

## References

1. [Release 0.0.1. 2021](https://github.com/Toloka/crowd-kit/releases/tag/v0.0.1)
2. [Release 0.0.2. 2021](https://github.com/Toloka/crowd-kit/releases/tag/v0.0.2)
3. [Release 0.0.3. 2021](https://github.com/Toloka/crowd-kit/releases/tag/v0.0.3)
4. [Release 0.0.4. 2021](https://github.com/Toloka/crowd-kit/releases/tag/v0.0.4)
5. [Release 0.0.5. 2021](https://github.com/Toloka/crowd-kit/releases/tag/v0.0.5)
6. [Release 0.0.6. 2021](https://github.com/Toloka/crowd-kit/releases/tag/v0.0.6)
7. [Release 0.0.7. 2021](https://github.com/Toloka/crowd-kit/releases/tag/v0.0.7)
8. [Release 0.0.8. 2021](https://github.com/Toloka/crowd-kit/releases/tag/v0.0.8)
9. [Release 0.0.9. 2021](https://github.com/Toloka/crowd-kit/releases/tag/v0.0.9)
10. [Release 1.0.0. 2022](https://github.com/Toloka/crowd-kit/releases/tag/v1.0.0)
11. [Release 1.1.0. 2022](https://github.com/Toloka/crowd-kit/releases/tag/v1.1.0)
12. [Release 1.2.0. 2022](https://github.com/Toloka/crowd-kit/releases/tag/v1.2.0)
13. [Release 1.2.1. 2023](https://github.com/Toloka/crowd-kit/releases/tag/v1.2.1)
14. [Release 1.3.0. 2024](https://github.com/Toloka/crowd-kit/releases/tag/v1.3.0)
15. [Release 1.4.0. 2024](https://github.com/Toloka/crowd-kit/releases/tag/v1.4.0)
16. [Release 1.4.1. 2024](https://github.com/Toloka/crowd-kit/releases/tag/v1.4.1)
17. [Release 1.4.2. 2025](https://github.com/Toloka/crowd-kit/releases/tag/v1.4.2)
18. [Source](https://api.github.com/repos/Toloka/crowd-kit)