A command-line tool that reads a database schema and generates a full, realistic fake dataset plus a ready-to-run dbt project — no production data or manual scaffolding needed.
github.com
Alternatives to
datagen
Best alternatives to datagen in 2026
Generating realistic test data at scale is usually either slow (data generated interpretively, row by row, in a scripting language) or crude (random values with no logical relationships between fields or tables). datagen takes a different approach: you describe your data model once in a small, declarative language, and it compiles that description into native code before running it — so generating millions of coherent rows is fast rather than a bottleneck. datagen's domain-specific language uses Go-like syntax to define entity shapes, cross-references between models, and tag-based filtering rules, which the tool then transpiles into native Go code for the actual generation step. It outputs to CSV, JSON, XML, or stdout, and can write directly into a MySQL database. It ships built-in functions for common data-generation patterns so you're not writing everything from scratch. It's MIT-licensed, written in Go (1.24+), and at 60 GitHub stars is a small but functioning project rather than a widely-adopted standard.
Quick comparison of datagen alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Analytics engineers et équipes data utilisant dbt, ayant besoin de données de test réalistes sans accès aux données de production | — | |
| 2 | Équipes SaaS Product/Revenue en petite et mid-market cherchant l'analytique de cohortes et churn sans BI complexe | — | |
| 3 | Website owners and teams wanting cookieless analytics with revenue insight | — | |
| 4 | Financial analysts and quantitative researchers needing SEC XBRL fundamentals | — | |
| 5 | Website owners and teams wanting privacy-first analytics with session replay and uptime monitoring | — | |
| 6 | Développeurs voulant présenter leur portfolio GitHub de façon originale, ou trouver des issues open-source abordables | — | |
| 7 | Développeurs construisant des pipelines de capture de données sans infra lourde | — | |
| 8 | Équipes data et ingénierie nécessitant souveraineté des données et contrôle d'infrastructure | — | |
| 9 | Data engineers, analystes, praticiens ML voulant prototyper des pipelines rapidement | — | |
| 10 | Consommateurs européens, chercheurs et journalistes suivant les comparaisons de prix et indicateurs économiques dans l'UE | — | |
| 11 | Entreprises B2B SaaS ayant besoin de normaliser les données d'onboarding envoyées par leurs clients | — | |
| 12 | Marques e-commerce, équipes growth, agences marketing gérant plusieurs comptes clients, marketeurs à la performance | — |
#1
- ✓ Generates both the data AND a complete dbt scaffold (seeds, models, tests, profiles)
- ✓ Preserves foreign-key relationships across tables
#2
Turns the customer and revenue data already sitting in your Google Sheets into churn, retention and cohort analytics in seconds, no formulas or BI tool required.
jettisheets.com
- ✓ Fonctionne directement dans Google Sheets, zéro migration de données
- ✓ Cohortes, churn et revenue waterfall sans formule ni pivot table
#3
Cookieless, privacy-first web analytics with an AI chat interface — a paid, open-source alternative to Google Analytics.
getopen.so
- ✓ No cookies, no consent banner needed by design
- ✓ Revenue attribution built in (Stripe/Polar)
#4
Extracts standardized S&P 500 fundamental financial data directly from SEC XBRL filings for financial analysis.
xbrlmetrics.com
- ✓ Standardized financial data extracted directly from audited SEC XBRL filings
- ✓ Covers all S&P 500 constituent companies
#5
Privacy-first, cookieless web analytics with session replay, error tracking, and uptime monitoring, open-source and self-hostable.
betterlytics.io
- ✓ Cookieless, privacy-first tracking — no cookie-consent banner needed
- ✓ Open-source (AGPL-3.0) with Docker self-hosting for full data ownership
#6
Turns your GitHub repositories into a walkable 3D town — stars and forks become building height and width — so you can explore a portfolio, or find beginner-friendly open-source issues, as a game instead of a list.
hyeonsangjeon.github.io
- ✓ Visualisation 3D originale et engageante des dépôts GitHub
- ✓ Fonctions pratiques (Quest Board, Repo Route, Twin Towns)
#7
Python library that captures streaming data durably into Iceberg tables with no broker, daemon, or catalog service to run.
github.com
- ✓ Aucune infra (broker/daemon/catalogue) à opérer
- ✓ Durabilité immédiate, fraîcheur sub-seconde
#8
Open-source ETL platform that builds data pipelines visually or in code and runs them on DuckDB, with no vendor lock-in.
duckle.org
- ✓ Gratuit, open source, aucun coût par ligne/connecteur
- ✓ 188+ connecteurs, compilation SQL automatique sur DuckDB
#9
Open-source visual builder for data and ML pipelines that lets you preview each transformation live and export clean pandas/Polars Python code.
ciaren.com
- ✓ Preview live sur données réelles à chaque étape
- ✓ Export en code Python pandas/Polars propre, aucun lock-in
#10
A free daily dashboard comparing fuel, electricity, groceries, wages, and other cost-of-living numbers across all 27 EU countries.
prices.eu.org
- ✓ Daily updates from official national sources
- ✓ Broad multi-category economic tracking in one place
#11
A tool that turns messy customer spreadsheets, CSVs, and even photos of data into clean, schema-matched records, with a human review step before anything gets used.
transmutify.io
- ✓ Accepte tous les formats, même les images
- ✓ Clés IA et stockage au choix de l'utilisateur
#12
Pulls your ad spend and sales numbers from every platform you use into one dashboard, so you can see your real profit without opening ten browser tabs.
grippi.io
- ✓ ROAS blended dédupliqué sur toutes les plateformes publicitaires connectées
- ✓ Setup en 5 minutes sans clé API
FAQ about datagen alternatives
- What is the best alternative to datagen in 2026?
- Based on our selection, model2data is the best alternative to datagen in 2026. A command-line tool that reads a database schema and generates a full, realistic fake dataset plus a ready-to-run dbt project — no production data or manual scaffolding needed.. See our full ranking above to compare all options.
- Is datagen free?
- datagen is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to datagen are there?
- mySelectas has listed 12 alternatives to datagen in the Data & Analytics category. Our selection is updated regularly to include the best options available.