# rocketlaunchr/dataframe-go

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

Repository: https://github.com/rocketlaunchr/dataframe-go
Canonical: https://ross.abutalabs.com/products/dataframe-go
Language: Go
License: NOASSERTION
License Family: other
Topics: golang, go, data-science, machine-learning, statistics, python, pandas, pandas-dataframe, dataframe, dataframes
Last push: 2022-04-02T10:46:59+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2893, "days_push": 1614, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1292, forks 100 (observed 2026-08-28T04:04:16.050440+00:00)

## What it is
dataframe-go is a lightweight Go library providing DataFrame and Series data structures for statistics, machine-learning, and data manipulation, similar to Python's pandas. It supports importing/exporting CSV, JSONL, Parquet, Excel, MySQL, and PostgreSQL, plus interpolation, time-series forecasting, and plotting.

## Use cases
- manipulate tabular data in go like pandas
- load csv or parquet files into a dataframe in go
- fill missing values with interpolation in go
- forecast time series with holt-winters in go
- export dataframes to excel or a database
- generate fake data for testing in go
- explore and print tabular datasets in go

## When to choose
- you are writing Go and need pandas-like dataframes
- you need lightweight tabular data manipulation without leaving the Go ecosystem
- you want interoperability with gonum

## When to avoid
- you need a fully stable API - it is explicitly not stable and slated for a generics rewrite
- you need the full pandas feature set or heavy-duty big-data processing
- you need a very actively maintained project - the latest release is from 2022

## Facets
- artifact type: library
- maturity: maintenance
- function: data-science, machine-learning, etl, data-visualization, math
- domain: data-science, machine-learning, analytics
- platform: go, cross-platform
- tags: dataframe, pandas, statistics, csv, parquet, time-series, interpolation, forecasting, data-engineering

## Member repositories
- rocketlaunchr/dataframe-go (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:16.050440+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:54:44.868336+00:00, confidence not recorded.
  - readme: https://github.com/rocketlaunchr/dataframe-go (fetched 2026-08-28T04:04:16.050440+00:00, sha 45f67056f778)
- Data as of 2026-08-30T08:39:29.467469+00:00.