Ross ROSS = Recommend OSS · open-source software intelligence for agents

sfu-db/dataprep

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code. observed · 2026-08-28

github.com/sfu-db/dataprep · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2670
  • days_rel: n/a
  • days_push: 797
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2248 stars · 226 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DataPrep is a Python library for low-code data preparation, offering modules to collect data from common APIs (connector), run fast exploratory data analysis with interactive profile reports (eda), and clean/standardize messy data (clean). It works with Pandas and Dask DataFrames and is designed for notebook users.

Use cases

  • generate an eda profile report from a pandas dataframe
  • clean and standardize addresses or phone numbers in a dataset
  • collect data from twitter or other apis into a dataframe
  • explore a dataset with a few lines of code
  • prepare messy csv data for machine learning
  • visualize column distributions in a notebook

When to avoid

  • you need a full ETL pipeline orchestration tool
  • your data sources are unsupported by the connector
  • you need a highly maintained library with frequent updates
  • you prefer writing explicit custom cleaning logic

Facets

library · maturity maintenance

data-science data-visualization web-scraping etl analytics data-science data-visualization analytics python cross-platform eda data-cleaning data-connector low-code pandas dask profile-report exploratory-data-analysis data-engineering

3 sources

Member repositories

RepositoryRoleHealth v2
sfu-db/dataprepmain23

For agents

markdown · JSON · MCP: product_card(name="sfu-db/dataprep")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem