MOSTLY AI vs Simudyne Pulse

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.

Simudyne Pulse generates synthetic financial-market data through APIs and a Python SDK for research, model training, algorithm development, and backtesting. Its PulseABM simulator produces data at millisecond resolution, including synthetic order books, L1/L2/L3 data, individual order events, and executed trades for HKEX and LSE. Listed uses include backtesting algorithms, measuring market impact, pre-trade transaction-cost analysis, stress scenarios, and model training. The simulated exchange is available over FIX 4.4 and can run at up to 20× speed. A Pulse MCP server exposes market-data and backtesting tools to compatible assistants such as Cursor, Windsurf, VS Code with GitHub Copilot, Cline, and Zed. The Python SDK returns data as Polars DataFrames, with Parquet and ZIP output formats. Pulse is cloud deployed and available through web and API platforms. Its free plan offers pre-run cached simulations, up to 10 Monte Carlo runs per group, and a selection of HKEX and LSE symbols, dates, and scenarios. Free-tier downloads are capped at 3 new simulation groups per rolling 24-hour period; previously downloaded groups can be fetched again for free.