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dataclean-csv

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 3 Oct 2026. How this is checked

dataclean-csv is a Python command-line tool for cleaning and profiling CSV files. It normalizes headers, removes duplicate rows, fills blank values, and emits machine-readable JSON quality reports using only the standard library.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Cleaning inconsistent CSV data and producing quality reports without relying on external dependencies.

Inferred · not functionally tested

Audience: developers and data professionals

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

In the CLI tools & terminal space, dataclean-csv takes a focused approach. Inferred · not functionally tested: It focuses on cleaning inconsistent CSV data and producing quality reports without relying on external dependencies. Inferred · not functionally tested: dataclean-csv is an open-source project aimed at developers and data professionals. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: dataclean-csv is available on the command line, and it can be self-hosted.

Omniforge Labs builds and maintains dataclean-csv, and it first shipped in 2026. The project is developed in the open on GitHub with 4 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are header normalization, duplicate removal, and blank filling.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Header normalization
  • Duplicate removal
  • Blank filling
  • Quality reporting
  • JSON reports
  • CSV profiling

Topics: Inferred · not functionally tested

Tags
csv-cleaningdata-qualityetl-clistdlib-tool

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed3 Oct · 13:57 UTC
    dataclean-csv seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about dataclean-csv

What does dataclean-csv do?
Inferred · not functionally tested: Dataclean-csv focuses on cleaning inconsistent CSV data and producing quality reports without relying on external dependencies. It is catalogued under CLI tools & terminal on PulseGate.
Who is dataclean-csv for?
Inferred · not functionally tested: dataclean-csv is an open-source project built for developers and data professionals.
Is dataclean-csv free?
Basis unknown · not verified: Yes — dataclean-csv is open source under the MIT license and free to use.
What platforms does dataclean-csv run on?
Basis unknown · not verified: dataclean-csv runs on the command line. It can also be self-hosted.
Is dataclean-csv still maintained?
PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 4 commits in the last 90 days.
What projects are similar to dataclean-csv?
Similar projects tracked by PulseGate include dataqual, DeepCleanCSV, and data-detective-toolkit.dataqualDeepCleanCSVdata-detective-toolkit
Who makes dataclean-csv?
dataclean-csv is developed by Omniforge Labs.
How long has dataclean-csv been around?
dataclean-csv first shipped in 2026.

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