- https://www.mlreef.com/blog/global-mlops-and-ml-tools-landscape
- http://dfkoz.com/ai-data-landscape
- List of tools for MLOps_v1_April 2020
- https://lfaidata.foundation
- https://landscape.lfai.foundation
- https://ml-ops.org
- https://bestofml.com
- https://projects.apache.org/projects.html?category
- https://flyte.org/integrations
- https://huyenchip.com/2020/12/30/mlops-v2.html
- ML database
- Graph database
- Serverless
- https://neon.tech
- https://www.yugabyte.com
- https://planetscale.com
- https://www.pingcap.com
- https://surrealdb.com
- https://xata.io
- https://www.8base.com/platform
- https://developers.cloudflare.com/d1
- https://www.cockroachlabs.com/product
- https://cloud.google.com/bigquery
- https://cloud.google.com/datastore
- https://azure.microsoft.com/en-gb/products/cosmos-db
- Other
- https://github.com/odpf
- https://www.obviously.ai
- https://mindsdb.com
- https://www.mlrun.org
- https://zenml.io
- https://www.bentoml.com
- https://www.anyscale.com
- https://www.kubeflow.org
- https://www.datarobot.com
- https://www.fiddler.ai
- https://sigopt.com
- https://www.tensorflow.org/tfx
- https://github.com/zenml-io/mlops-stacks
- https://github.com/h2oai/h2o-3
- https://github.com/SeldonIO/MLServer
- https://github.com/khuyentran1401/Data-science#mlops
- https://www.iguazio.com
- https://katonic.ai
- https://snorkel.ai/snorkel-flow-platform
- https://www.striveworks.com
- https://github.com/datarevenue-berlin/OpenMLOps
- https://polyaxon.com
- https://github.com/SeldonIO/seldon-core
- Apache
- Cloud based
- https://aws.amazon.com/machine-learning
- https://aws.amazon.com/sagemaker
- https://aws.amazon.com/big-data/datalakes-and-analytics
- https://aws.amazon.com/forecast
- https://aws.amazon.com/marketplace/solutions/data-analytics/predictive-analytics
- https://cloud.google.com/automl
- https://azure.microsoft.com/en-us/products/machine-learning
- https://www.ibm.com/cloud/watson-studio
- https://www.alibabacloud.com/product/machine-learning
- Other
- https://mlflow.org
- https://iterative.ai
- https://lightning.ai
- https://www.union.ai/unionml
- https://octoml.ai
- https://bigml.com
- https://pretrained.ai
- https://www.dataiku.com/product/key-capabilities/machine-learning
- https://flyte.org
- https://www.paperspace.com/gradient
- https://www.comet.com/site
- https://continual.ai
- https://www.aiflow.ltd
- https://www.integrate.ai/integrateai
- https://toloka.ai
- https://www.efemarai.com
- https://www.evidentlyai.com
- https://www.union.ai/pandera
- https://nextbrain.ai
- https://www.grid.ai
- https://cnvrg.io
- https://www.modzy.com
- https://github.com/apple/turicreate
- https://mistral.ai
- https://numfocus.org/sponsored-projects
- https://levelup.gitconnected.com/20-pandas-functions-for-80-of-your-data-science-tasks-b610c8bfe63c
- https://voltrondata.com/resources/12-open-source-projects-to-watch-2023
- https://scikit-learn.org
- https://pandas.pydata.org
- https://pytorch.org
- https://numpy.org
- https://www.tensorflow.org
- https://keras.io
- https://xgboost.ai
- https://matplotlib.org
- https://seaborn.pydata.org
- https://github.com/nltk/nltk
- https://scipy.org
- https://metaflow.org
- https://pjreddie.com/darknet
- https://catboost.ai
- https://spark.apache.org/mllib
- https://www.tidyverse.org
- https://dash.plotly.com
- https://github.com/neoml-lib/neoml
- https://docs.konan.ai
- https://github.com/fastai/fastai
- https://abess.readthedocs.io/en/latest
- https://github.com/python-visualization/folium
- https://github.com/onnx/models
- https://github.com/ibis-project/ibis
- https://github.com/rapidsai/cuml
- https://github.com/vaexio/vaex
- https://dataprep.ai
- https://jupytext.readthedocs.io
- https://www.pola.rs
- https://ai.meta.com/llama
- https://github.com/topics/automated-machine-learning
- https://github.com/topics/automl
- https://machinelearningmastery.com/automl-libraries-for-python/
- https://www.automl.org
- https://lightwood.io
- https://ludwig.ai
- https://github.com/microsoft/FLAML
- https://cloud.google.com/automl
- https://github.com/alteryx/evalml
- https://compose.alteryx.com
- https://evalml.alteryx.com
- https://github.com/autogluon/autogluon
- https://github.com/nidhaloff/igel
- https://github.com/EpistasisLab/tpot
- https://github.com/PGijsbers/gama
- https://github.com/Ennosigaeon/automl_benchmark
- https://openml-labs.github.io/gama/master
- https://www.qlik.com/us/products/qlik-automl
- https://auto.gluon.ai
- https://transmogrif.ai
- https://automl.github.io/auto-sklearn/master
- https://github.com/microsoft/nni
- https://pycaret.org
- https://hudi.apache.org
- https://github.com/Teradata/kylo
- https://www.domo.com/platform/leverage-the-cloud
- https://delta.io
- https://iceberg.apache.org
- https://doris.apache.org
- https://hadoop.apache.org
- https://lakefs.io
- https://www.databricks.com
- https://www.onehouse.ai/product
- https://www.mage.ai
- https://smartdatalake.ch
- https://aws.amazon.com/solutions/implementations/data-lake-solution
- https://azure.microsoft.com/en-us/solutions/data-lake
- https://www.databricks.com/product/data-lakehouse
- https://github.com/awslabs/aws-serverless-data-lake-framework
- https://www.snowflake.com/en/data-cloud/workloads/data-lake
- https://www.activeloop.ai
- https://dagster.io
- https://www.orchest.io
- https://github.com/combust/mleap
- https://dataform.co
- https://www.unstructured.io
- https://odpf.github.io/optimus
- https://opendatadiscovery.org
- https://meltano.com
- https://www.aporia.com
- https://datagrok.ai
- https://www.pachyderm.com
- https://www.dremio.com
- https://github.com/data-cleaning/validate
- https://github.com/pydantic/pydantic
- https://odpf.github.io/meteor
- https://github.com/Appsilon/data.validator
- https://dagshub.com/blog/content/images/size/w2400/2021/07/Experiment-Tracking-Comparison-2.png
- https://clear.ml
- https://guild.ai
- https://docs.aws.amazon.com/sagemaker/latest/dg/experiments.html
- https://www.comet.com
- https://neptune.ai
- https://wandb.ai
- https://www.determined.ai
- https://pair-code.github.io/what-if-tool
- https://www.featuretools.com
- https://www.featureform.com/
- https://www.snowflake.com/guides/what-feature-store-machine-learning
- https://open-metadata.org
- https://feast.dev
- https://github.com/jaswinder9051998/zoofs
- https://flink.apache.org
- https://github.com/feathr-ai/feathr
- https://stackoverflow.com/questions/61116190/what-are-all-the-formats-to-save-machine-learning-model-in-scikit-learn-keras
- https://towardsdatascience.com/guide-to-file-formats-for-machine-learning-columnar-training-inferencing-and-the-feature-store-2e0c3d18d4f9
- https://onnx.ai
- https://github.com/combust/mleap
- https://github.com/operatorai/modelstore
- https://www.hdfgroup.org/solutions/hdf5
- https://github.com/BayesWitnesses/m2cgen
- https://en.wikipedia.org/wiki/Hyperparameter_optimization
- https://github.com/topics/hyperparameter-optimization
- https://towardsdatascience.com/7-hyperparameter-optimization-techniques-every-data-scientist-should-know-12cdebe713da
- https://optuna.org
- https://github.com/EpistasisLab/tpot
- https://github.com/hyperopt/hyperopt
- https://github.com/HunterMcGushion/hyperparameter_hunter
- https://towardsdatascience.com/mastering-xgboost-2eb6bce6bc76
- https://dvc.org
- https://cml.dev
- https://mlem.ai
- https://modelstore.readthedocs.io
- https://github.com/VertaAI/modeldb
- https://uptrain.ai
- https://github.com/datalad/datalad
- https://www.ray.io
- https://airflow.apache.org
- https://www.dask.org
- https://labelbox.com
- https://github.com/spotify/luigi
- https://github.com/bodywork-ml/bodywork-core
- https://github.com/topics/synthetic-data
- https://www.statice.ai/post/synthetic-data-open-source-tools-guide-building-buying
- https://d2l.ai/chapter_linear-regression/synthetic-regression-data.html
- https://www.clearbox.ai
- https://mostly.ai
- https://hazy.com
- https://ydata.ai
- https://www.exactdata.net
- https://www.statice.ai/product/synthetic-data-software
- https://github.com/sdv-dev/SDV
- https://github.com/sdv-dev/CTGAN