ActivitySchema VS dbg-pds

Compare ActivitySchema vs dbg-pds and see what are their differences.

ActivitySchema

Repository for the ActivitySchema spec and supporting materials (by ActivitySchema)

dbg-pds

Deutsche Boerse's Financial Trading Public Data Set (by Deutsche-Boerse)
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ActivitySchema dbg-pds
2 1
373 157
0.0% -
0.0 0.4
over 1 year ago over 2 years ago
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ActivitySchema

Posts with mentions or reviews of ActivitySchema. We have used some of these posts to build our list of alternatives and similar projects.

dbg-pds

Posts with mentions or reviews of dbg-pds. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing ActivitySchema and dbg-pds you can also consider the following projects:

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

finance-go - :bar_chart: Financial markets data library implemented in go.

tellery - Tellery lets you build metrics using SQL and bring them to your team. As easy as using a document. As powerful as a data modeling tool.

Hello-Kaggle - For someone who is new at Kaggle

awesome-data - Awesome-data shows most interesting data-source around the financial world!

apple-appstore-apps - Apple AppStore Apps dataset. (1.2 million App Data) and 21 attributes

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness. [Moved to: https://github.com/newTendermint/awesome-bigdata]

pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.