Search Results for "python data analysis"
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Showing 31 open source projects for "python data analysis"
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich... -
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HDF5
Official HDF5® Library Repository
HDF5 (Hierarchical Data Format v5) is a widely-used data management library and file format for storing large and complex scientific data sets efficiently. -
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Cloudberry
One advanced and mature open-source MPP
Apache Cloudberry is a distributed real-time analytics engine designed for querying massive social media datasets. It integrates with Apache AsterixDB and supports efficient ad-hoc queries and aggregations across large volumes of data. Cloudberry is especially useful for dashboards, trend analysis, and time-series social data exploration. -
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MobilityDB
MobilityDB is a geospatial trajectory data management & analysis
MobilityDB is an extension for PostgreSQL and PostGIS that adds support for managing and querying moving object data, such as vehicles, vessels, or wildlife. It allows developers to store temporal and spatiotemporal data types and execute complex mobility analytics using SQL. It is particularly suited for GIS applications and location-based services. -
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Apache AGE
Graph database optimized for fast analysis
Apache AGE (A Graph Extension) is a PostgreSQL extension that adds support for graph database functionality using the openCypher query language. AGE allows users to store and query graph-structured data alongside traditional relational data in a single database. Built for performance and scalability, it brings the power of graph queries to the robustness of PostgreSQL, making it suitable for use cases like social networks, recommendation systems, and fraud detection. -
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DBD2
A multi-threaded, multi-database tcp-based database insertion app.
DBD2 inserts database records from TCP input. It is a companion project to Syslgod2 and an application in its own right. It ships with a backgrounding client for generic use. The client sends whatever information the user puts on the command-line to the back-end daemon via TCP. Upon successful transmission, the client exits. On failure, it backs off and retries until its life-time timer expires. The back-end daemon accepts data from Syslogd2 or its own client and inserts that data... -
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Cinemagoer
Python package to retrieve and manage data of the IMDb
Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db. -
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GetData
Scientific Database Format
The GetData library provides an API to interface with Dirfile databases. The Dirfile database format is designed to provide a fast, simple, scalable format for storing and reading binary, synchronously-sampled, time-ordered data. -
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Smart-M3 is a functional platform that provides a cross domain search extent for triple based information. Smart-M3 enables smart cross domain applications that rely on information level interoperability.
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xlsLib
C++/C library to construct Excel .xls files in code.
A multiplatform C++ library for dynamic generation of Excel .xls files containing multiple worksheets. Unlike .csv files, these can be directly opened by Excel and thus provide an excellent way to output large data sets that require further analysis. To see the latest changes, select "Files" and view the README text displayed at the bottom of that pane. IMPORTANT: Major changes are contained in the current SVN source. If you have time please try to use it or the xlslib-package-2.4.0b1.zip archive, and enter bug reports on any problems! ... -
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ProC 3.0
smart Workflow Engine
ProC 3.0 is a scientific workflow engine to build, manage and execute workflows (pipelines) in heterogeneous environments, supporting GRID and other means of parallel processing. It includes a data management component (DMC) to transparently access databases for storage of results and automatically adds metadata to track the processing of data products, so that at every time a full processing history is available. The software was developed and used within the ESA Planck satellite mission. -
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representation by relations vs data storage. pile unifies the contradicted qualities of tables/trees (databases) and complex networks, order and flexibility. dynamical data generation on call. fast. natively compressing similarities. search across scopes.
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Porcupine is an open-source Python based web application server that provides front-end and back-end revolutionary technologies for building modern data-centric Web 2.0 applications.
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The System for Modular Analysis and Continuous Queries (SMACQ) is a modular platform for analyzing and querying large datasets, including streaming network data, using features from databases, UNIX pipelines, and modular intrusion detection systems.
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PerfParse. Storage and analysis of binary performance data produced by Nagios. High quality accurate graphs of live data from standard Nagios plugins. Permanent history of plugin results with advanced analysis tools.
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Redland is a set of object-based, modular and portable C RDF libraries providing RDF APIs for the graph, triple storage (librdf), RDF/XML parsing and serializing (Raptor), SPARQL RDF querying (Rasqal). Language APIs in Perl, PHP, Python, Ruby and others.
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The NetEpi project is developing open-source, network-enabled tools for epidemiology and public health practice.
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Neurospaces is a development center for tools in computational neuroscience. See http://www.neurospaces.org/
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Porcupine is an open-source Python based web application server that provides front-end and back-end revolutionary technologies for building modern data-centric Web 2.0 applications.
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FLAG was designed to simplify the process of log file analysis and forensic investigations. FLAG facilitates efficient analysis of large quantities of data within an interactive environment. PyFlag is the reimplementation of FLAG in Python.
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IDSS is a statistical application for e-mail surveys. It parses HTML questionnaires filled in by respondents. Output is a separated database, a SAS DATA step import program and correspondence tables between variable characteristics and field values.
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baobab is an implementation of FPTrees or Frequent Pattern Trees, a pattern recognition/data mining technique. it has innumerable applications in language processing, clickstream analysis, etc.
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KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
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MilkCrate utilizes a new open-source markup language for tabular musical notation, and a unique wiki-styled web interface for data input. Users may generate a number of different document types to view the tabular notation, including .png, and PostScript
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The BEE Project is a suite of tools supporting Business Intelligence project implementation including ETL tool and OLAP server and a thin client. The ROLAP server ensures multipass SQL generation and powerful cache management (utilizes MySQL RDBMS).
