Data Mask Studio vs MOSTLY AI

Data Mask Studio is a free Windows desktop application for masking sensitive data in CSV files and local HTML content. Users can choose columns to preserve, mask, or exclude; normalize, rename, or compose columns; and reuse profiles for batch work. CSV files can be processed individually or in batches, with selective restoration available later. Its deterministic tokens can keep repeated values consistent across records and files. The app can also restore known codes in local HTML files and dashboards while preserving their markup. Original values and mappings remain in an encrypted local vault, which is needed for restoration. The maker says tokens use HMAC-SHA256, vault data uses AES-256-GCM, and Windows DPAPI protects local keys. Processing stays local, without telemetry or automatic synchronization. Additional tools include password-protected portable backups, vault integrity audits, diagnostics, temporary-file cleanup, and controlled compaction. Large files use bounded-memory streaming. Releases offer a per-user Windows installer and portable ZIP. The app is licensed under GPL-3.0-only. It does not guarantee irreversible anonymization, and its executables are not digitally signed yet, so Windows may show a SmartScreen warning.

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.