OSForensics vs Timesketch

OSForensics is digital investigation software for extracting and examining forensic data from computers. It searches and indexes files, looks inside documents and email archives, and attempts to recover deleted files. Hashing can verify evidence or compare it with known files, while extension checks can flag files whose extensions are incorrect. The software can surface recent activity such as opened documents, web history, connected USB devices, and network shares. Password tools target commonly used web browsers and can use rainbow tables to retrieve passwords from hashes. Investigators can group evidence into case files, cryptographically hash data, and export reports readable as HTML or PDF, with narratives and external reports. It can maintain a secure audit trail and create or restore disk images for analysis. OSForensics can also run from a portable USB drive. Listed evidence sources include Windows, Mac, Linux, Android, and iOS/macOS file systems, plus disk images, memory dumps, email, browser data, registry hives, SQLite, and ESE databases. Windows 7, 8, 10, and 11 are listed, as are several Windows Server versions. A free license and a 30-day trial are listed; subscription pricing is $95 per user per month.

Timesketch is a free, open-source tool for collaborative forensic timeline analysis. A sketch normally represents one case and can contain multiple timelines, views, comments and stories. Investigators can search and filter timelines, inspect data in charts and save discoveries as views. Sketches may be private or shared with individuals, groups or all system users. Supported imports include Plaso storage files, CSV, JSON, JSONL, Pandas DataFrames, Python dictionaries and spreadsheet files. Python analyzers run in background workers to enrich events, add tags or create saved views; documented integrations include Sigma, Google Safe Browsing, BigQuery, Yeti and HashR. Sigma support is marked alpha with known performance and functionality issues. Timesketch offers a web interface, REST API and command-line client. Docker is the only tested and actively maintained installation method; documentation calls for Ubuntu 22.04 and at least 8 GB of RAM. Indexes depend on physical disk space, and searches may fail above 150 indices in a timeline. The self-hosted plan is free.