MOSTLY AI

MOSTLY AI is a data intelligence platform for working with production data, generating synthetic, mock, and simulated data, and analyzing data. Its assistant lets users create and run Python code for analysis using natural-language requests. The open-source Synthetic Data SDK is licensed under Apache v2 and supports local synthetic data generation. The platform handles numerical, categorical, date-time, text, and geolocation data, and can synthesize related tables while maintaining their relationships. Data Insights Reports, rebalancing, missing-value imputation, and generation temperature controls provide additional data tools. Listed database connectors include MySQL, PostgreSQL, MariaDB, Oracle, Microsoft SQL Server, Snowflake, Databricks, BigQuery, and Apache Hive; cloud bucket connections include Azure, GCP, and AWS. An API and Python client support integrating generation into applications and workflows. Deployment options include Kubernetes, OpenShift, and Minikube, as well as on-premises, private cloud, and air-gapped environments. The Free plan is 0.00 USD per free, with no further limits stated.

Who it is for

MOSTLY AI suits teams that need synthetic or mock data, data analysis, or relational multi-table generation. Its deployment options include on-premises and air-gapped environments for organizations with those requirements.

What is good

Generates related tables while preserving their relationships
Supports text and geolocation alongside structured data
Offers API and Python client integration
Can deploy on-premises or in air-gapped environments

What to know first

SDK local-mode GPU support is Linux-only
Single-node Kubernetes needs at least 24 CPU cores and 48 GB RAM

Verdict

MOSTLY AI combines synthetic-data generation, data analysis, connectors, and deployment choices. Teams evaluating a deployment should account for the stated minimum resources for single-node Kubernetes and the Linux-only SDK local-mode GPU support.