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Chance.js vs MOSTLY AI

Chance.js

chancejs.com

MOSTLY AI

mostly.ai

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FigureChance.jsMOSTLY AI
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published11
Spec score · Test Data Generation Tools8.3 (#2)7.7 (#12)
Data typesIts generators cover items including text, people, locations, dates, finance, and web-related values.The platform supports structured numerical, categorical, and date-time data, plus text and geolocation data.
Founded20132017
IntegrationsThe documentation includes installation and usage instructions for Bower and RequireJS, as well as npm for Node.js.Listed connectors include MySQL, PostgreSQL, MariaDB, Oracle, MS SQL Server, Snowflake, Databricks, BigQuery, and Azure, GCP, and AWS cloud buckets.

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Chance.js

  • Chance.jsFree

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MOSTLY AI

  • FreeFree

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In their own words

Chance.js

Chance.js is a free, MIT-licensed JavaScript library for generating pseudorandom data used in automated tests and other applications needing sample values. Generators cover basic values, text, people, mobile identifiers, web data, locations, dates, finance, helpers, and miscellaneous categories. Developers can install it with npm for Node.js, load it in a browser, or use the separate chance-cli package from the command line. Browser users may create a global instance or instantiate several instances. Supplying a seed makes output repeatable; instances given the same seed can produce the same sequence. Integer generation accepts inclusive minimum and maximum bounds, and the unique() helper builds arrays without repeated generated items. The documented name generator supports English and Italian nationality options. The site lists chance.js at 95KB uncompressed and chance.min.js at 55KB, or 17KB gzipped. Chance is not intended for cryptographic applications requiring true randomness. The site credits Victor Quinn as its writer.

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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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