Project

Reverse Dependencies for descriptive_statistics

The projects listed here declare descriptive_statistics as a runtime or development dependency

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Schema design for NoSQL applications
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Octocore is the core framework of Octomatic Enterprise. It contains all the core models, tasks, actions etc.
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Octocore is the core framework of Octomatic Enterprise. It contains all the core models, tasks, actions etc for Cassandra
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Octocore is the core framework of Octomatic Enterprise. It contains all the core models, tasks, actions etc for MongoDB
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Gem to use the papercallio API
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Pulo is a (back-of-envelope) calculator for engineering. It understands physical quantities, their dimensions and units.
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Quadtone Toolkit (QTTK): Tools for working with the quadtone printing process.
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Complect churn and complexity (git commit count and Flog statistics)
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Supervised learning is the machine learning task of inferring a function from labeled training data. A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.
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Accepts a single or multiple tcpsnitch JSON traces as argument and compute statistical information.
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The project is in a healthy, maintained state
Timet is a command-line time tracker that keeps track of your activities.
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Creates fake bank account data and transactions to mimick an API response from Plaid's "Connect" service.
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XML files typically come in nested structures. For data extraction purposes, we frequently wish to have a flat hash instead. The naming then becomes tricky, because there can be collision in the terminal nodes. However, if we use the chain of parent tags joined with an underscore, this provides a unique name for every data point in the XML file. The goal of this package is to make it very simple to convert XML files into flat hashes.
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