{"adoption": {"forks": 582, "observed_at": "2026-08-28T04:06:15.814776+00:00", "stars": 2114}, "canonical_url": "https://ross.abutalabs.com/products/hls4ml", "card": {"archived": false, "artifact_type": "library", "description": "Machine learning on FPGAs using HLS", "domain": ["machine-learning", "embedded-systems", "hardware", "deep-learning", "gpu-computing"], "enriched": true, "function": ["machine-learning", "compiler", "llm-inference", "embedded"], "health_score": 98, "homepage": "https://fastmachinelearning.org/hls4ml", "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["fastmachinelearning/hls4ml"], "name": "fastmachinelearning/hls4ml", "platform": ["python", "embedded"], "pushed_at": "2026-08-26T11:38:58+00:00", "repo": "fastmachinelearning/hls4ml", "stars": 2114, "tags": ["fpga", "high-level-synthesis", "neural-network-inference", "low-latency", "quantization", "vivado", "vitis", "catapult", "keras", "pytorch", "onnx", "qkeras", "high-energy-physics", "linux"], "topics": ["hls", "machine-learning", "fpga", "python", "keras", "pytorch", "onnx", "vivado", "vivado-hls", "neural-network", "intel-hls"], "urls": [], "use_cases": ["deploy neural networks on FPGAs with microsecond latency", "convert Keras or PyTorch models to HLS firmware", "build low-latency trigger systems for particle physics detectors", "run quantized neural network inference on low-power hardware", "implement ML inference for satellite or biomedical signal processing", "compile ONNX models to FPGA bitstreams"], "what_it_is": "hls4ml is a Python package that converts machine learning models from Keras, PyTorch, and ONNX into high-level synthesis (C++) code for FPGA firmware. It targets ultra-low-latency, low-power neural network inference, originally for LHC trigger systems but now used across scientific and industrial domains.", "when_to_avoid": ["you need large models like transformers or graph networks, which are not yet stable", "you target Windows or macOS, which are not supported", "you don't have access to a vendor HLS toolchain", "you need GPU or CPU inference rather than FPGA deployment"], "when_to_choose": ["you need ultra-low-latency (microsecond-scale) ML inference on FPGAs", "your model is small and can be compressed with quantization and pruning", "you use supported architectures like MLPs, CNNs, or RNNs with Keras, PyTorch, or ONNX", "you work with AMD/Xilinx, Intel, or Catapult HLS toolchains"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/hls4ml", "repo": "fastmachinelearning/hls4ml", "role": "main", "score": 82}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:53:28.953058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05f30b61df3737810570e2f2c786a70a5a4821dbc65fdc157e0a07fbe1f5799a", "fetched_at": "2026-08-28T04:06:15.814776+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fastmachinelearning/hls4ml"}, {"content_hash": "751d98b8affa3f068f0cc27983cb75b9d3315e30f613163eda153b4301cf79f6", "fetched_at": "2026-08-29T10:33:30.066958+00:00", "kind": "homepage", "missing": false, "url": "https://fastmachinelearning.org/hls4ml"}, {"content_hash": "eaf3c705f83794393a96c048ddbe4ae56fa9eecea9f82e8643cae15bb2dd10af", "fetched_at": "2026-08-29T10:33:30.076071+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/status.html"}, {"content_hash": "aca849c5c85cf69a939de422e684ded89f4ab0282bb15f2febf733add41f2dc9", "fetched_at": "2026-08-29T10:33:30.078006+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/faq.html"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:53:28.953058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05f30b61df3737810570e2f2c786a70a5a4821dbc65fdc157e0a07fbe1f5799a", "fetched_at": "2026-08-28T04:06:15.814776+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fastmachinelearning/hls4ml"}, {"content_hash": "751d98b8affa3f068f0cc27983cb75b9d3315e30f613163eda153b4301cf79f6", "fetched_at": "2026-08-29T10:33:30.066958+00:00", "kind": "homepage", "missing": false, "url": "https://fastmachinelearning.org/hls4ml"}, {"content_hash": "eaf3c705f83794393a96c048ddbe4ae56fa9eecea9f82e8643cae15bb2dd10af", "fetched_at": "2026-08-29T10:33:30.076071+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/status.html"}, {"content_hash": "aca849c5c85cf69a939de422e684ded89f4ab0282bb15f2febf733add41f2dc9", "fetched_at": "2026-08-29T10:33:30.078006+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/faq.html"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:53:28.953058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05f30b61df3737810570e2f2c786a70a5a4821dbc65fdc157e0a07fbe1f5799a", "fetched_at": "2026-08-28T04:06:15.814776+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fastmachinelearning/hls4ml"}, {"content_hash": "751d98b8affa3f068f0cc27983cb75b9d3315e30f613163eda153b4301cf79f6", "fetched_at": "2026-08-29T10:33:30.066958+00:00", "kind": "homepage", "missing": false, "url": "https://fastmachinelearning.org/hls4ml"}, {"content_hash": "eaf3c705f83794393a96c048ddbe4ae56fa9eecea9f82e8643cae15bb2dd10af", "fetched_at": "2026-08-29T10:33:30.076071+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/status.html"}, {"content_hash": "aca849c5c85cf69a939de422e684ded89f4ab0282bb15f2febf733add41f2dc9", "fetched_at": "2026-08-29T10:33:30.078006+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/faq.html"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:53:28.953058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05f30b61df3737810570e2f2c786a70a5a4821dbc65fdc157e0a07fbe1f5799a", "fetched_at": "2026-08-28T04:06:15.814776+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fastmachinelearning/hls4ml"}, {"content_hash": "751d98b8affa3f068f0cc27983cb75b9d3315e30f613163eda153b4301cf79f6", "fetched_at": "2026-08-29T10:33:30.066958+00:00", "kind": "homepage", "missing": false, "url": "https://fastmachinelearning.org/hls4ml"}, {"content_hash": "eaf3c705f83794393a96c048ddbe4ae56fa9eecea9f82e8643cae15bb2dd10af", "fetched_at": "2026-08-29T10:33:30.076071+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/status.html"}, {"content_hash": "aca849c5c85cf69a939de422e684ded89f4ab0282bb15f2febf733add41f2dc9", "fetched_at": "2026-08-29T10:33:30.078006+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/faq.html"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:53:28.953058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05f30b61df3737810570e2f2c786a70a5a4821dbc65fdc157e0a07fbe1f5799a", "fetched_at": "2026-08-28T04:06:15.814776+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fastmachinelearning/hls4ml"}, {"content_hash": "751d98b8affa3f068f0cc27983cb75b9d3315e30f613163eda153b4301cf79f6", "fetched_at": "2026-08-29T10:33:30.066958+00:00", "kind": "homepage", "missing": false, "url": "https://fastmachinelearning.org/hls4ml"}, {"content_hash": "eaf3c705f83794393a96c048ddbe4ae56fa9eecea9f82e8643cae15bb2dd10af", "fetched_at": "2026-08-29T10:33:30.076071+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/status.html"}, {"content_hash": "aca849c5c85cf69a939de422e684ded89f4ab0282bb15f2febf733add41f2dc9", "fetched_at": "2026-08-29T10:33:30.078006+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/faq.html"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:53:28.953058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05f30b61df3737810570e2f2c786a70a5a4821dbc65fdc157e0a07fbe1f5799a", "fetched_at": "2026-08-28T04:06:15.814776+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fastmachinelearning/hls4ml"}, {"content_hash": "751d98b8affa3f068f0cc27983cb75b9d3315e30f613163eda153b4301cf79f6", "fetched_at": "2026-08-29T10:33:30.066958+00:00", "kind": "homepage", "missing": false, "url": "https://fastmachinelearning.org/hls4ml"}, {"content_hash": "eaf3c705f83794393a96c048ddbe4ae56fa9eecea9f82e8643cae15bb2dd10af", "fetched_at": "2026-08-29T10:33:30.076071+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/status.html"}, {"content_hash": "aca849c5c85cf69a939de422e684ded89f4ab0282bb15f2febf733add41f2dc9", "fetched_at": "2026-08-29T10:33:30.078006+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/faq.html"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:15.814776+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:53:28.953058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05f30b61df3737810570e2f2c786a70a5a4821dbc65fdc157e0a07fbe1f5799a", "fetched_at": "2026-08-28T04:06:15.814776+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fastmachinelearning/hls4ml"}, {"content_hash": "751d98b8affa3f068f0cc27983cb75b9d3315e30f613163eda153b4301cf79f6", "fetched_at": "2026-08-29T10:33:30.066958+00:00", "kind": "homepage", "missing": false, "url": "https://fastmachinelearning.org/hls4ml"}, {"content_hash": "eaf3c705f83794393a96c048ddbe4ae56fa9eecea9f82e8643cae15bb2dd10af", "fetched_at": "2026-08-29T10:33:30.076071+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/status.html"}, {"content_hash": "aca849c5c85cf69a939de422e684ded89f4ab0282bb15f2febf733add41f2dc9", "fetched_at": "2026-08-29T10:33:30.078006+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/faq.html"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:53:28.953058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05f30b61df3737810570e2f2c786a70a5a4821dbc65fdc157e0a07fbe1f5799a", "fetched_at": "2026-08-28T04:06:15.814776+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fastmachinelearning/hls4ml"}, {"content_hash": "751d98b8affa3f068f0cc27983cb75b9d3315e30f613163eda153b4301cf79f6", "fetched_at": "2026-08-29T10:33:30.066958+00:00", "kind": "homepage", "missing": false, "url": "https://fastmachinelearning.org/hls4ml"}, {"content_hash": "eaf3c705f83794393a96c048ddbe4ae56fa9eecea9f82e8643cae15bb2dd10af", "fetched_at": "2026-08-29T10:33:30.076071+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/status.html"}, {"content_hash": "aca849c5c85cf69a939de422e684ded89f4ab0282bb15f2febf733add41f2dc9", "fetched_at": "2026-08-29T10:33:30.078006+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/faq.html"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:53:28.953058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05f30b61df3737810570e2f2c786a70a5a4821dbc65fdc157e0a07fbe1f5799a", "fetched_at": "2026-08-28T04:06:15.814776+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fastmachinelearning/hls4ml"}, {"content_hash": "751d98b8affa3f068f0cc27983cb75b9d3315e30f613163eda153b4301cf79f6", "fetched_at": "2026-08-29T10:33:30.066958+00:00", "kind": "homepage", "missing": false, "url": "https://fastmachinelearning.org/hls4ml"}, {"content_hash": "eaf3c705f83794393a96c048ddbe4ae56fa9eecea9f82e8643cae15bb2dd10af", "fetched_at": "2026-08-29T10:33:30.076071+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/status.html"}, {"content_hash": "aca849c5c85cf69a939de422e684ded89f4ab0282bb15f2febf733add41f2dc9", "fetched_at": "2026-08-29T10:33:30.078006+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/faq.html"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:53:28.953058+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05f30b61df3737810570e2f2c786a70a5a4821dbc65fdc157e0a07fbe1f5799a", "fetched_at": "2026-08-28T04:06:15.814776+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fastmachinelearning/hls4ml"}, {"content_hash": "751d98b8affa3f068f0cc27983cb75b9d3315e30f613163eda153b4301cf79f6", "fetched_at": "2026-08-29T10:33:30.066958+00:00", "kind": "homepage", "missing": false, "url": "https://fastmachinelearning.org/hls4ml"}, {"content_hash": "eaf3c705f83794393a96c048ddbe4ae56fa9eecea9f82e8643cae15bb2dd10af", "fetched_at": "2026-08-29T10:33:30.076071+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/status.html"}, {"content_hash": "aca849c5c85cf69a939de422e684ded89f4ab0282bb15f2febf733add41f2dc9", "fetched_at": "2026-08-29T10:33:30.078006+00:00", "kind": "site_page", "missing": false, "url": "https://fastmachinelearning.org/hls4ml/intro/faq.html"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 100, "rhythm": 51}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3234, "days_push": 7, "days_rel": 166, "gap_med": 136, "n_releases_24m": 4}, "score": 82, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}