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Faker.js vs MOSTLY AI

Faker.js

fakerjs.dev

MOSTLY AI

mostly.ai

Side by side

FigureFaker.jsMOSTLY AI
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published11
Spec score · Test Data Generation Tools7.5 (#16)7.7 (#12)
Spec score · Test Data Management Software7.5 (#16)7.7 (#11)
Data typesFaker can generate person, location, date, finance, commerce, and other data through its modules.The platform supports structured numerical, categorical, and date-time data, plus text and geolocation data.
IntegrationsThe framework guide provides examples for Vitest, Jest, Cypress, and Playwright.Listed connectors include MySQL, PostgreSQL, MariaDB, Oracle, MS SQL Server, Snowflake, Databricks, BigQuery, and Azure, GCP, and AWS cloud buckets.
SupportThe project directs users with questions to its Discord community and GitHub Discussions.Users can contact support by emailing [email protected].

Plans

Faker.js

  • FakerFree

Faker.js pricing →

MOSTLY AI

  • FreeFree

MOSTLY AI pricing →

In their own words

Faker.js

Faker.js is a free JavaScript library for generating synthetic data that resembles realistic information during testing and development. Its modules produce person, location, date, finance, commerce, and other data. Documented uses include unit tests, performance tests, demos, and development before a backend is complete. Pre-built instances cover more than 70 locales, and custom locales can be created. The implementation runs in browsers and Node.js; Faker v10 requires Node.js 20 or newer. Installation guidance covers npm, pnpm, yarn, and Deno, with examples for Vitest, Jest, Cypress, and Playwright. A seed can make generated values repeatable, although identical seeds may produce different results between Faker versions. The full package exceeds 5 MiB when minified, and its guide advises against deploying the entire package in a web app. Locale coverage varies, with some combinations using English fallback data or lacking applicable data. Faker is MIT licensed for commercial and non-commercial use and is self-hosted.

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MOSTLY AI

MOSTLY AI is a data intelligence platform for accessing production data, generating synthetic, mock and simulated data, and analyzing data. Its assistant lets users request Python code in natural language and run it for analysis. The open-source Synthetic Data SDK supports local generation and uses the Apache v2 license. The platform handles numerical, categorical, date-time, text and geolocation data; it can synthesize relational tables while preserving their relationships. Other controls include Data Insights Reports, data rebalancing, missing-value imputation and generation temperature settings. Listed database connectors include MySQL, PostgreSQL, MariaDB, Oracle, Microsoft SQL Server, Snowflake, Databricks, BigQuery and Apache Hive; cloud bucket connectors include Azure, GCP and AWS. An API and Python client support integration into applications and workflows. Deployment options include Kubernetes, OpenShift and Minikube, as well as on-premises, private-cloud and air-gapped installations. The maker says the platform is SOC 2 and ISO 27001 certified. A single-node Kubernetes deployment requires at least 24 CPU cores, 48 GB RAM and 256 GB storage. The free plan is free, with no further limits stated. It is available via API, Linux, self-hosting and web.

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