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CLUSTER CSV-FILES-UPLOADED · 14 ENTRIES · EARLIEST ENTRY 2025-12-12

CSV data cleaning tools

This cluster consists of web applications that accept uploaded CSV or Excel files, diagnose data-quality issues such as missing values, duplicates, and outliers, and either suggest cleaning steps or automatically repair the data with undo/redo support. Only two dated entries exist before the index start, so the cluster's dated history is too thin to read a shape from – it predates the index or its members are undated. The three traction leaders all show 0 stars, indicating minimal early-stage activity.

Entry timeline

ENTRY TIMELINE

DEC 2025: 1AUG 2026: 1SEP 2026: 8OCT 2026: 4
DEC 2025OCT 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 2 ai-built · 3 hand-coded · 9 unlabelled

Operator · 11 hobby · 3 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 14 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01data-cleaning-hackumass3★today—hobbyWeb app that accepts uploaded CSV files, cleans them with statistical imputation and deduplication, and returns a download link.
  2. 02cleancrm0★today—hand-codedhobbyWeb app that scans uploaded CRM exports to identify duplicate, missing, and inconsistent records for data cleanup.
  3. 03redirect-preflight0★10 days—hand-codedhobbyWeb app that validates redirect maps from CSV files, surfacing conflicts, duplicates, cycles, chains, and missing URLs before staging for small web agencies.
  4. 04csv-doctor0★14 days—hobbyWeb app that diagnoses data-quality issues in uploaded CSV files, suggests cleaning steps, and downloads repaired files.
  5. 05easy_csv_editor0★7 days—Web app that uploads CSV files, allows editing rows and columns, removing empty rows, and downloads processed CSV with encoding options.
  6. 06doc_to_parse0★27 days—hobbyWeb app that pairs source documents with parser outputs and scores parsing consistency with detailed error lists.
  7. 07ai-data-quality-detective0★18 dayslivehobbyWeb app that accepts uploaded CSV files, checks data quality, and explains detected issues using grounded knowledge retrieval.
  8. 08sentiment-analysis-tool0★7 dayslivehobbyWeb app that cleans uploaded CSV text data, performs sentiment analysis, and generates interactive dashboards with downloadable reports.
  9. 09sla-monitoring-dashboard-0★27 days—hobbyWeb dashboard that accepts health-check CSV uploads, validates and cleans data, and displays SLA statistics and filterable logs.
  10. 10kaizen-6ea4c0cc0★1 mo—ai-builtWeb app that repairs broken files so they can be opened after uploading.
  11. 11auto-data-cleaner0★25 days—hand-codedhobbyWeb app that cleans uploaded datasets, handles missing values and duplicates, and generates AI-powered business analysis and insights.
  12. 12n8n_agent_work_csv_deduplication0★1 mo—hobbyWeb app that uploads candidate CSV files, detects duplicate entries by email and phone, and sends email reports.
  13. 13data-preprocessor-agent0★29 days—hobbyLocal app that profiles unfamiliar CSV and Parquet files, detects data quality issues, and answers questions about them with a private offline assistant.
  14. 14smart-data-prep0★10 mostaleliveai-builtWeb app that automatically cleans and preprocesses uploaded CSV or Excel datasets, fixing missing values, duplicates, and outliers with full undo and redo support.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.