Data science workflow tools

	A	B	C	D	E	F	G	H	I	J
1	The tools below are categorized according to their applicability within the 6 core processes of the data science workflow, as defined in this blog post:
2	http://fouryears.eu/2018/11/29/the-data-science-workflow/
3	The list does not claim to be an all-encompassing survey. This is just a sample of tools and services known to the author
4					Workflow stages
5	Title	Link	Pricing / License	Github stars (end of 2018)	Data management	Compute graph	Experiment management	Deployment	Monitoring	Workbench organization

6	Any database server or file format	N/A	N/A		x
7	Git LFS	https://git-lfs.github.com/	MIT	6488	x
8	Git Annex	https://git-annex.branchable.com/	AGPL	N/A	x
9	Quilt	https://quiltdata.com/	Freemium	684	x
10	Darty	https://github.com/zalando-incubator/darty	MIT	10	x
11	GNU Make	https://www.gnu.org/software/make/	GPL	N/A		x
12	Luigi	https://github.com/spotify/luigi	Apache	10529		x
13	Airflow	https://github.com/apache/incubator-airflow	Apache	10086		x
14	PyDoit	http://pydoit.org	MIT	541		x
15	DVC	https://dvc.org/	Apache	1523	x	x
16	Pachyderm	http://www.pachyderm.io/	Apache	3267	x	x	?
17	DatMo Open Source	https://github.com/datmo/datmo	Apache	179		?	?
18	ModelDB	https://github.com/mitdbg/modeldb	MIT	573			x
19	CometML	https://www.comet.ml/	Freemium	N/A			x
20	Sacred	https://github.com/IDSIA/sacred	MIT	1404			x
21	Hyperdash	https://hyperdash.io/	Free	110			x
22	Sumatra	https://github.com/open-research/sumatra	BSD	81			x
23	FGLab	https://kaixhin.github.io/FGLab/	MIT	170			x
24	TensorFX	https://github.com/TensorLab/tensorfx	Apache	178			x
25	TensorBoard	https://github.com/tensorflow/tensorboard	Apache	2840			x
26	Weights and Biases	https://www.wandb.com/	Freemium	N/A			x
27	Modelchimp	https://www.modelchimp.com/	BSD/Paid	19			x
28	Hyperflow	https://hyperflow.in/	Apache	0		?	x
29	Neptune	https://neptune.ml/	Freemium	N/A		x	x
30	Tensorflow Serving	https://www.tensorflow.org/serving/	Apache	2843				x
31	SKompiler	https://github.com/konstantint/SKompiler	MIT	24				x
32	JPMML/jpmml-sklearn	https://github.com/jpmml	AGPL	258				x
33	AWS Lambda	https://aws.amazon.com/lambda/	Paid	N/A				x
34	Acumos	https://www.acumos.org/	Paid	N/A				x
35	MLFlow	https://www.mlflow.org/	Apache	2674		x	x	x
36	YHat	http://docs.yhat.com/	Paid	N/A			x	x	?
37	Grafana	https://grafana.com/	Apache	25175					x
38	Metabase	https://www.metabase.com/	AGPL	12314					x
39	Tableau	https://www.tableau.com/	Paid	N/A					x
40	MyDBR	https://mydbr.com/	Freemium	N/A					x
41	DatMo Pro	https://datmo.com/product	Paid	N/A				x	x
42	Cookiecutter-DS	http://drivendata.github.io/cookiecutter-data-science/	MIT	1649						x
43	Hops.io	https://www.hops.io/	AGPL	5						x
44	Lore	https://github.com/instacart/lore	MIT	1247		x	x	x		x
45	FloydHub	https://www.floydhub.com/	Freemium	109		x	x	x		x
46	AzureML	https://studio.azureml.net/	Paid	N/A			x	x	x	x
47	Dataiku	https://www.dataiku.com/dss/	Paid	N/A		x	x	x	x	x
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