Exploring Open-Source Alternatives to Landing AI for Robust MLOps

1. deepdetect

   1 4 2,528 6.3 C++

   Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

   

   For those seeking a lightweight solution for setting up deep learning REST APIs across platforms without the complexity of Kubernetes, Deepdetect is worth considering.

2. CodeRabbit

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3. awesome-production-machine-learning

   2 10 18,252 9.5

   A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

   

   One trove of treasures is the awesome-production-machine-learning repository on GitHub. This curated list provides a multitude of frameworks, libraries, and software designed to facilitate various stages of the ML lifecycle.

4. scikit-image

   3 10 6,204 9.7 Python

   Image processing in Python

   

   Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.

5. ultralytics

   4 36 38,487 9.9 Python

   Ultralytics YOLO11 🚀

   

   When browsing the state-of-the-art in object detection on Papers with Code, I found the YOLO model to be one of the most popular, accurate, and fastest. That being said, I would recommend having a look at Ultralytics, which provides the tools to evaluate, predict, and export the latest versions of YOLO models with only a few lines of code.

6. datasets

   5 4 2 4.2 Python

   A collection of free datasets hosted with ReductStore (by reductstore)

   

   When seeking an on-premise alternative to LandingEdge for sophisticated edge computing and computer vision tasks, ReductStore emerges as a compelling solution. This Time-Series Database is tailored for Blob Data, emphasizing optimizations that cater to the unique demands of Edge Computing, IoT, and Computer Vision applications.

7. anomalib

   6 17 4,158 9.0 Python

   An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

   

   Then, when it comes to semi-supervised learning for anomaly detection, I had positive experiences with Anomalib which offers a robust library dedicated to deep learning anomaly detection algorithms. They implemented the latest models with PyTorch and offer tools to benchmark their performance.

8. Pandas

   7 422 44,936 9.9 Python

   Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

   

   Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.

9. SaaSHub

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10. coco-annotator

    8 7 2,168 3.1 Vue

    :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

    

    For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.

11. OpenCV

    9 210 81,207 9.9 C++

    Open Source Computer Vision Library

    

    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.

12. label-studio

    10 50 21,343 9.9 JavaScript

    Label Studio is a multi-type data labeling and annotation tool with standardized output format

    

    For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.

13. nuclio

    11 4 5,407 9.3 Go

    High-Performance Serverless event and data processing platform

    

    For the efficiency of "serverless" functions, I would consider Nuclio as a viable option to rely on.

14. cvat

    12 26 11,287 9.8 TypeScript

    Discontinued Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]

    

    Another powerful resource is CVAT, the Computer Vision Annotation Tool which supports both image and video annotations with advanced capabilities such as interpolation of shapes between frames, making it highly suitable for computer vision.

15. netron

    13 41 29,705 9.9 JavaScript

    Visualizer for neural network, deep learning and machine learning models

    

    In exploring open-source projects, I've come across several promising tools capable of managing deep-learning models for images. Significantly, tools such as NETRON provide visualization of neural networks, while SHAP can be used for evaluating the significance of outputs.

16. MLflow

    14 74 19,852 9.9 Python

    Open source platform for the machine learning lifecycle

    

    Platforms such as MLflow monitor the development stages of machine learning models. In parallel, Data Version Control (DVC) brings version control system-like functions to the realm of data sets and models.

17. pachyderm

    15 8 6,210 9.5 Go

    Data-Centric Pipelines and Data Versioning

    

    Pachyderm specializes in creating compliance-focused pipelines that integrate with enterprise-level storage solutions.

18. alibi-detect

    16 9 2,326 6.7 Jupyter Notebook

    Algorithms for outlier, adversarial and drift detection

    

    Numerous tools exist for detecting anomalies in time series data, but Alibi Detect stood out to me, particularly for its capabilities and its compatibility with both TensorFlow and PyTorch backends.

19. dvc

    17 121 14,276 9.0 Python

    🦉 Data Versioning and ML Experiments

    

    Platforms such as MLflow monitor the development stages of machine learning models. In parallel, Data Version Control (DVC) brings version control system-like functions to the realm of data sets and models.

20. clearml-helm-charts

    18 2 39 7.6 Smarty

    Helm chart repository for the new unified way to deploy ClearML on Kubernetes. ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

    

    On another front, ClearML excels at automating the monitoring and graphic representation of models while facilitating training tasks remotely.

21. SaaSHub

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