Apache TVM
tvm.apache.orgCompiles and optimizes machine-learning models for deployment across hardware targets.
Compiles and optimizes machine-learning models for deployment across hardware targets.
Run container-native workflows as DAGs or ordered steps on a Kubernetes cluster.
Create interactive 3D scenes for the web with a JavaScript scene graph and renderer.
Discover network devices, graph their data, and send alerts from an SNMP-based monitoring system.
Inspect Kubernetes network flows and service relationships through Cilium's CLI and optional service-map interface.
An outliner that turns notes into searchable, reusable knowledge with tags and saved views.
A native Markdown notebook that keeps notes as files and adds linked-note tools.
A database engine with an AQL query workflow for collections and connected data.
Query a scholarly research graph of works, authors, sources, institutions, and related entities over a REST API.
Explore Lightning nodes, decode invoices and monitor channel activity
Paint across texture tiles and export controlled channel or Bake Point variants
Fit a reusable base topology to scanned or sculpted characters
Generate terrain, erosion maps and textured scenes from connected devices
Explore process measurements, compare statistical views and investigate quality or business patterns.
Turn scattered legal-team knowledge into a searchable, monitored knowledge base.
Screen addresses and follow their incoming and outgoing transfers
Compare mobile app markets, store performance and advertising activity
Share cached task results and distribute Nx CI work across workers.
Node-based reconstruction pipelines built on AliceVision
A handwriting notebook that links notes and searches handwriting, Markdown, and PDF text.
Trace blockchain activity and preserve the reasoning behind a case
Map crypto dependencies and configure exposure alerts
Node-based material authoring with reusable controls and procedural texture outputs
Connect content and product entities through knowledge graphs and structured data.