Logarithm Labs provides a comprehensive DeFi research library, acting as a one-stop solution for testing and developing DeFi strategies. This quant-friendly toolbox, built on Python, ensures full research pipeline. It incorporates user-friendly DeFi primitives, a range of data loaders, and sturdy optimization techniques like backtesting, scenario testing, sliding window backtest, and simulations.
With our tool you can:
| | Web3-Backtest By RoboVault | DeFiLab Simulator | Dojo by ComprassLabs | Logarithm-Backtest | | --- | --- | --- | --- | --- | | Licence | Open source software | Web tool | Licence-based software | Open source software | | Supported PL | TypeScript | JavaScipt | Python | Python | | Development status | Inactive - 8 months ago | Inactive - 2 years ago | Active - Last Week | Active - Last Week | | Available DeFi models | Uni V2/3, Aave, Sushi V2, Perp V2, GMX | Uni V3, Perp | Uni V3, Aave V2 | Uni V2/3, Aave, Compound, GMX V1/2, AMM abstractions, LST abstractions | | Expandability | No | No | By team request | Yes - by community | | Analytics & Vizualization | Yes | Yes | Yes | Yes | | Out-of-the-box running | No | No | Yes | Yes | | Prepared strategies | No | No | Yes | Yes | | Data sources | Arkive | The Graph | Internal data distributed with package | The Graph, public APIs, built-in ad-hoc loaders supported by team | | Experiments tracking system | No | No | No | Custom: Yes Soon: MLFlow |