Search Results for "sub"
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Showing 27 open source projects for "sub"
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Scio
A Scala API for Apache Beam and Google Cloud Dataflow
Scio is a Scala API developed by Spotify that builds on Apache Beam to enable expressive batch and streaming data pipelines, optimized for running on Google Cloud Dataflow. Inspired by Spark and Scalding, it provides scalable, type‑safe, and production-grade data processing, with built-in support for BigQuery, Pub/Sub, Cassandra, Elasticsearch, Redis, TensorFlow IO, and more. -
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Watermill
Building event-driven applications the easy way in Go
...It is intended for building event driven applications, enabling event sourcing, RPC over messages, sagas and basically whatever else comes to your mind. You can use conventional pub/sub implementations like Kafka or RabbitMQ, but also HTTP or MySQL binlog if that fits your use case. -
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AutoGluon
AutoGluon: AutoML for Image, Text, and Tabular Data
...Leverage automatic hyperparameter tuning, model selection/ensembling, architecture search, and data processing. Easily improve/tune your bespoke models and data pipelines, or customize AutoGluon for your use-case. AutoGluon is modularized into sub-modules specialized for tabular, text, or image data. You can reduce the number of dependencies required by solely installing a specific sub-module via: python3 -m pip install <submodule>. -
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Cube
Universal semantic layer platform for AI, BI, spreadsheets
...Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests. -
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Synapse Machine Learning
Simple and distributed Machine Learning
...With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster. -
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atpbar
Progress bars for threading and multiprocessing tasks on terminal
Progress bars for threading and multiprocessing tasks on the terminal and Jupyter Notebook. atpbar can display multiple progress bars simultaneously growing to show the progresses of iterations of loops in threading or multiprocessing tasks. atpbar can display progress bars on the terminal and Jupyter Notebook. atpbar can be used with Mantichora. atpbar started its development in 2015 as part of Alphatwirl. atpbar prevented physicists from terminating their running analysis codes, which would take many hours to complete, by showing progress bars indicating their codes were actually running. The progress bars have saved the physicists countless hours in total. atpbar had been the sub-package progress of alphatwirl until it became an independent package, with the name atpbar, in February 2019. -
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Apache Doris
MPP-based interactive SQL data warehousing for reporting and analysis
Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Apache Doris can meet various data analysis demands, including history data reports, real-time data analysis, interactive data analysis, and exploratory data analysis. Make your data analysis easier! -
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targets
Function-oriented Make-like declarative workflows for R
...It tracks dependencies between “targets” (computational steps), skips steps whose upstream data or code hasn’t changed, supports parallel computation, branching (dynamic generation of sub‐targets), file format abstractions, and encourages reproducible and efficient analyses. It’s something like GNU Make for R, but more integrated. Skipping computation for up-to-date targets so that unchanged parts of the workflow are not recomputed. Targets can represent files or R objects, and tracking file changes etc is incorporated. -
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StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
StarRocks is the next generation of real-time SQL engines for enterprise analytics. Real-time analytics is notoriously difficult. Complex data pipelines and de-normalized tables have always been a necessary evil. Processing any updates or deletes once data arrives has not been possible- until now. StarRocks solves these challenges and makes real-time analytics easy. Get amazing query performance on Star or Snowflake Schemas directly. From canceled orders to updated items, your analytics... -
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xrayutilities
a package with useful scripts for X-ray diffraction physicists
xrayutilities is a python package used to analyze x-ray diffraction data. It can support with performing diffraction experiments and used for common steps in the data analysis. It can read experimental data from several data formats (spec, edf, xrdml, ...); convert them to reciprocal space for arbitrary goniometer geometries and different detector systems (point, linear as well as area detectors); for further processing the data can be gridded (transformed to a regular grid). More... -
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Strings Edit
String editing and formatting library for Ada
Strings edit is a library that provides I/O facilities for integers, floating-point numbers, Roman numerals, and strings. Both input and output subroutines support string pointers for consequent stream processing. The output can be aligned in a fixed size field with padding. Numeric input can be checked against expected values range to be either saturated or to raise an exception. For floating-point output either relative or absolute output precision can be specified. UTF-8 encoded strings... -
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SnappyData
Memory optimized analytics database, based on Apache Spark
...This is made possible by smartly managing data in memory, dynamically generating code using vectorization optimizations, and maximizing the potential of modern multi-core CPUs. SnappyData enables complex processing on large data sets in sub-second timeframes. -
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CliMA Land
Everything within the Land model
...CliMA Land is a highly modular platform to promote research at different scales from tissue to organ, whole plant, and ecosystem. Therefore, we deliver CliMA Land via a patch of packages (also referred to as sub-modules) to reduce the time used to initialize a research project. As a result, the repository is more a collection of tutorials and examples for users, rather than a place to store the code for all sub-modules. This project is supposed to be a community effort, leveraging all the work that has been done in Land Surface Modeling from various groups around the world. ... -
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MLDataUtils.jl
Utility package for generating, loading, and processing ML datasets
This package is designed to be the end-user facing front-end to all the data related functionality that is spread out across the JuliaML ecosystem. Most of the following sub-categories are covered by a single back-end package that is specialized on that specific problem. Consequently, if one of the following topics is of special interest to you, make sure to check out the corresponding documentation of that package. -
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GPlates
Interactive visualization of plate tectonics.
GPlates is a plate-tectonics program. Manipulate reconstructions of geological and paleo-geographic features through geological time. Interactively visualize vector, raster and volume data. PyGPlates is the GPlates Python library. Get fine-grained access to GPlates functionality in your Python scripts. -
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OME-3DR
3D cell reconstruction and quantitative analysis based on OME data
For big OME data analysis, we integrate commonly used quantitative methods, describe our novel strategies to quantify and analyze biological markers related to the cell or organelle spatial-coordinate model, and present open-source OME-3-Dimensional Reconstruction (OME-3DR), a flexible, programmable and batch-oriented tool based on OME data, for reconstructing 3-dimensional (3D) spatial conformations and conducting further analyses, such as the identification, counting, localization and tracking of bio-imaging markers, calculation of model-contour parameters for association analyses, establishing spatial-coordinate system, 3D co-localization analyses and so on. OME-3DR is well modularized (for automation, three main menus integrate hundreds of sub-functions), easy to use and ingenious; indeed, after setting the corresponding parameters, batch processing is relatively straightforward when beginning the 3D model reconstruction... -
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apache spark data pipeline osDQ
osDQ dedicated to create apache spark based data pipeline using JSON
This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. It can run in local mode also. Get json example at https://github.com/arrahtech/osdq-spark How to run Unzip the zip file Windows : java -cp .... -
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Repatch
Dispatch reducers
Repatch is just a simplified Redux, that let you create actions more briefly by dispatching reducers directly. Redux has verbose action management. Most of redux projects do not need sctrict action administration. Action types, action creators and the reducer's action handlers are mutually assigned to each other. Repatch's purpose is to create actions briefly. The simplest way to keep the immutable action-controlled dataflow and define actions briefly is by dispatching pure functions (as... -
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Dataflow Java SDK
Google Cloud Dataflow provides a simple, powerful model
The Dataflow Java SDK is the open-source Java library that powers Apache Beam pipelines for Google Cloud Dataflow, a serverless and scalable platform for processing large datasets in both batch and stream modes. This SDK allows developers to write Beam-based pipelines in Java and execute them on Dataflow, taking advantage of features like autoscaling, dynamic work rebalancing, and fault-tolerant distributed processing. While it has been mostly succeeded by the unified Beam SDKs, it remains... -
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TeleScope
XML Data Stream Broker/Replicator
...TeleScope has internal query language with a set of standard logical operators that allows to construct relatively complex query expressions. The platform features the pub-sub architecture and serves a set of simultaneously connected XML stream subscribers. The broker features Continuous Query engine over the XML stream. TeleScope provides the remote cli interface to login (in cisco fashion via telnet) and change/reset the query transaction on the current stream on the fly in real time. It also gives data query and subscribers statistics via a separate status port. -
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ns-2 Trace Toolkit
This toolkit allows you to analyze and validate ns-2 traces
ns-2 Trace Toolkit was developed to help users to manage and debug ns-2 trace files. It is particularly useful for users that generate ns-2 trace files with other tools such as VanetMobiSim or SUMO (Simulation of Urban Mobility). With ns-2 Trace Toolkit, users can debug their trace files by generating histograms for: (1) node speed, (2) node x-position, and (3) node y-position. These histograms can give hits about concentration of nodes. Additionally, the tool allows users to simulate... -
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Galois sub-hierarchy builder
Visualize Galois sub-hierarchy of 2d matrix
GSH builder is a free Galois Sub-Hierarchy visualization tool. The algorithm for calculating GSH is called Pluton and the present Java realization is based on two articles. "Efficiently computing a linear extension of the sub-hierarchy of a Concept Lattice" by Anne Berry, Marianne Huchard, Ross M. McConnell, Alain Sigayret and Jeremy P. Spinrad. "Performances of Galois Sub-hierarchy-building algorithms" by Gabriela Arevalo, Anne Berry, Marianne Huchard, Guillaume Perrot and Alain Sigayret In you're in need of other GSH algorithms or their realizations in C++, you might want to investigate a project called Galicia on sourceforge. ... -
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Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.
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The final build of this software now is distributed in R, embedded in "RedeR': an R/Bioconductor package for hierarchical and nested network analysis... more about RedeR: http://bioconductor.org/packages/2.9/bioc/html/RedeR.html
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The General Intensional Programming System (GIPSY) consists in three modular sub-systems: The General Intensional Programming Language Compiler (GIPC) ; the General Eduction Engine (GEE), and the Intensional Run-time Programming Environment (RIPE).
