Search Results for "python data analysis"

Turf is a JavaScript library for spatial analysis. It includes traditional spatial operations, helper functions for creating GeoJSON data, and data classification and statistics tools. Turf can be added to your website as a client-side plugin, or you can run Turf server-side with Node.js. Modular, simple-to-understand JavaScript functions that speak GeoJSON. Turf is a collection of small modules, you only need to take what you want to use.

...The first software requirement is Python 2.6, 2.7, or Python 3.3+. This is required to use the library. PyAudio is required if and only if you want to use microphone input (Microphone). PyAudio version 0.2.11+ is required, as earlier versions have known memory management bugs when recording from microphones in certain situations. To hack on this library, first make sure you have all the requirements listed in the "Requirements" section.

ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. It provides a number of enhanced features based on natural language analysis. Terminology orientation allows designing user oriented data models. Enhanced event model and Active Data Link technology support rapid development of GUI applications. Several development, documentation, test and analyzing tools are provided in order to support developers and administrators. .NET interface and a powerful object-orjented script language (OSI) improve development efficiency.

The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software, including the Indri search engine in C++, the Galago search engine research framework in Java, the RankLib learning to rank library, ClueWeb09 and ClueWeb12 datasets and the Sifaka data mining application.

By providing SDK for data exchange through blockchain, developers can more conveniently develop DAPP applications. It mainly includes the following contents:data encryption and decryption, digital signature, smart contract, event notification, data storage interface, data acquisition and query, digital currency payment, the third-party App payment interface, etc.

The goal of PyTables is to enable the end user to efficiently and easily manipulate large datasets (both homogenous, i.e. arrays, and heterogenous, i.e. tables) on a persistent, hierarchical way.

BlackRay is a persistent in-memory high performance relational database written in C++. It combines regular database features with search engine like performance. Please visit https://forge.softmethod.de for the main development site.

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.

XAIRA (XML Aware Indexing and Retrieval Architecture) supports indexing and analysis of large XML textual resources such as natural language corpora.

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.

A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining

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.

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.

A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).

Project MOVED to Codehaus New location is http://esper.codehaus.org The Esper project aims to provide a general-purpose event processing facility in Java for complex event processing of real-time, high throughput data streams.

PyTablet is a self organizing DB for semi-structured data. PyTablet behave like a huge persistable dictionary where keys are ID and values are dictionary-like objects that can link each other and contain simple values.

XSDB XML is to DATA as HTML is to DOCUMENT. Publish and combine data as easily as HTML format and web browsers publish and view documents. Implementations in Python, javascript, java, C#/.NET.

Healthcare Xchange Protocol for interoperative communications. Data exchange/transfer, platform independent,XML-RPC, HL7, SOAP, EDIFACT, simple,easy, authenticated, secure, transparent, no geo-restrictions, open sourced, peer reviewed, collab development

Embedding the meaning of the datas in the storage can improve the consistency of the stored information and simplify the its exchange: the semantic structure is defined through a strong semantic typing of the data and the use of external dictionaries.

idyuts is \"I Dare You to Use This Shell\"; a pre-hibernate approach to replacing an ORM written with jython functors into a pure-Java language command pattern. The \"pipeline codegen artifacts\" are simple IoC templates, and trivial to adapt