Technologies And Comparisions
Includes technology information, principles , concepts and comparisions used in my job
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Apisix | 13,290 | 3 months ago | 381 | apache-2.0 | Lua | |||||
| The Cloud-Native API Gateway | ||||||||||
| Ignite | 4,626 |  | 15 | 3 | 3 months ago | 36 | May 04, 2023 | 729 | apache-2.0 | Java |
| Apache Ignite | ||||||||||
| Plc4x | 1,042 | 1 | 83 | 3 months ago | 13 | October 02, 2023 | 117 | apache-2.0 | Java | |
| PLC4X The Industrial IoT adapter | ||||||||||
| Hivemq Mqtt Tensorflow Kafka Realtime Iot Machine Learning Training Inference | 159 | 3 years ago | 4 | apache-2.0 | Jupyter Notebook | |||||
| Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required | ||||||||||
| Demos | 96 | 4 years ago | apache-2.0 | TSQL | ||||||
| Repository with DC/OS demos to show specific use cases, usually industry specific. | ||||||||||
| Helloiot | 75 | 3 years ago | 3 | gpl-3.0 | Java | |||||
| HelloIoT is a MQTT dashboard application. | ||||||||||
| Docker Iot Dashboard | 75 | 2 years ago | 15 | mit | Shell | |||||
| A complete IoT server for LoRaWAN IoT projects: node-red + influxdb + grafana + ssl + let's encrypt using docker-compose. | ||||||||||
| Wifianalyticsiot | 35 | 9 years ago | Java | |||||||
| Opensourcecomputervision | 30 | 6 years ago | other | Python | ||||||
| Open Source Computer Vision with TensorFlow, MiniFi, Apache NiFi, OpenCV, Apache Tika and Python For processing images from IoT devices like Raspberry Pis, NVidia Jetson TX1, NanoPi Duos and more which are equipped with attached cameras or external USB webcams, we use Python to interface via OpenCV and PiCamera. From there we run image processing at the edge on these IoT device using OpenCV and TensorFlow to determine attributes and image analytics. A pache MiniFi coordinates running these Python scripts and decides when and what to send from that analysis and the image to a remote Apache NiFi server for additional processing. At the Apache NiFi cluster in the cluster it routes the images to one processing path and the JSON encoded metadata to another flow. The JSON data (with it's schema referenced from a central Schema Registry) is routed and routed using Record Processing and SQL, this data in enriched and augment before conversion to AVRO to be send via Apache Kafka to SAM. Streaming Analytics Manager then does deeper processing on this stream and others including weather and twitter to determine what should be done on this data. References https://community.hortonworks.com/articles/103863/using-an-asus-tinkerboard-with-tensorflow-and-pyth.html https://community.hortonworks.com/articles/118132/minifi-capturing-converting-tensorflow-inception-t.html https://github.com/tspannhw/rpi-noir-screen https://community.hortonworks.com/articles/77988/ingest-remote-camera-images-from-raspberry-pi-via.html https://community.hortonworks.com/articles/107379/minifi-for-image-capture-and-ingestion-from-raspbe.html https://community.hortonworks.com/articles/58265/analyzing-images-in-hdf-20-using-tensorflow.html | ||||||||||
| Netcore | 28 | 3 years ago | 2 | CSS | ||||||
| 此项目已迁移至 https://github.com/colin-chang/dotnet | ||||||||||
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