News

BAM Engine 0.10.2 improves how memory scales with population, keeping the footprint low even at large agent counts.

BAM Engine 0.10.0 measures itself against the wider agent-based modelling ecosystem. A new benchmark suite runs the identical baseline BAM model on five frameworks, and a round of performance work makes BAM Engine the fastest of the group at scale. There are no breaking changes to the public API.

BAM Engine 0.9.2 is a maintenance release that restores compatibility with NumPy 2.5, alongside validation and tooling fixes accumulated since 0.9.1.

BAM Engine 0.9.0 redesigns the results collection API, making simulation data easier to access and explore. A follow-up patch (0.9.1) adds a log_level convenience parameter.

BAM Engine 0.8.0 extends the calibration toolkit with four new composable tools, recalibrates all validation targets from extracted book figure data, and redesigns buffer-stock validation around aggregate improvement over Growth+.

BAM Engine 0.7.0 replaces the batch-sequential goods market with a pure sequential implementation, eliminating inventory collisions and delivering 6.5% faster simulations.

BAM Engine 0.6.0 consolidates two parallel market-matching implementations into a single vectorized path, delivering ~30% faster simulations.

We are excited to announce BAM Engine 0.5.1 and the launch of bamengine.org.