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Fishery vs MOSTLY AI

Fishery

github.com

MOSTLY AI

mostly.ai

Side by side

FigureFisheryMOSTLY AI
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Web—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published11
Spec score · Test Data Generation Tools7.7 (#11)7.7 (#12)
SecurityThe repository lists a security policy resource, but the opened page did not provide policy details.The maker says the platform is SOC 2 and ISO 27001 certified and offers on-premises installation, including air-gapped environments, and private cloud deployment.

Plans

Fishery

  • FreeFree

Fishery pricing →

MOSTLY AI

  • FreeFree

MOSTLY AI pricing →

In their own words

Fishery

Fishery is a free JavaScript library for preparing objects as test data and for other situations where JavaScript data needs setup. Its factories define defaults, and build() creates objects with supplied parameters layered over those defaults. TypeScript users can obtain typed factory parameters and return objects, while the library also works without TypeScript. Factories may define onCreate behavior for asynchronous work; create() then performs that work and returns a promise. Additional factory capabilities include sequences, transient parameters, associations, and hooks that run after building or creating objects. Developers can extend factories with reusable builder methods by subclassing Factory. The documentation describes using factories alongside other factories to build associated objects. Installation instructions cover npm and Yarn as development dependencies. The repository identifies Fishery as free software under the MIT license and says thoughtbot, inc. maintains and funds it. GitHub Issues is the listed channel for bug reports and change requests.

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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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