Search Results for "capture"
Sort By:
Showing 37 open source projects for "capture"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
1
Scanopy
Clean network diagrams, One-time setup, zero upkeep
Scanopy is a powerful multi-modal data capture and analysis toolkit that enables users to collect, process, and visualize structured and unstructured information from a variety of sources in a flexible pipeline. It is built to handle complex scanning tasks — such as OCR, document analysis, audio transcription, network data capture, and image extraction — while providing unified APIs and workflows that make managing heterogeneous data sources seamless. -
2
TradingView MCP Bridge
AI-assisted TradingView chart analysis
...It communicates through the Chrome DevTools Protocol and exposes chart controls through MCP tools and a command-line interface. The assistant can navigate symbols and timeframes, inspect indicator values, capture screenshots, draw annotations, manage alerts, and configure multi-pane layouts. Pine Script workflows include writing, injecting, compiling, debugging, and iterating on scripts from natural-language requests. Replay controls allow users to step through historical bars for analysis and practice. Processing remains on the local machine, and the tool requires an installed TradingView Desktop application with legitimate account access. ... -
3
The ARCHModels Package for Julia
A Julia package for estimating ARMA-GARCH models
ARCH (Autoregressive Conditional Heteroskedasticity) models are a class of models designed to capture a feature of financial returns data known as volatility clustering, i.e., the fact that large (in absolute value) returns tend to cluster together, such as during periods of financial turmoil, which then alternate with relatively calmer periods. -
4
Checkmate
Checkmate is an open-source, self-hosted tool
...The application continuously checks whether websites and services are accessible and performing optimally, generating alerts and reports when availability or performance degrades. It supports detailed infrastructure monitoring through an optional agent called Capture, which collects hardware metrics such as CPU, memory, disk usage, and temperature from remote machines. The system is designed to scale, having been stress-tested with more than a thousand active monitors without major performance issues. Checkmate also includes incident tracking and notification capabilities so teams can quickly respond to outages or anomalies. ... -
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
5
Koito
Koito is a modern, themeable scrobbler
Koito is a lightweight, self-hostable collaborative knowledge base and note-taking platform designed to help teams and individuals capture, organize, and link ideas with the reliability of a local or private server rather than relying on managed SaaS tools. It combines concepts from wikis, Zettelkasten systems, and modern note apps by letting you create interconnected notes, bidirectional links, and structured collections that mirror how knowledge naturally grows. -
6
SciML Style Guide for Julia
A style guide for stylish Julia developers
The SciML Style Guide is a style guide for the Julia programming language. It is used by the SciML Open Source Scientific Machine Learning Organization. As such, it is open to discussion with the community. If the standard for code contributions is that every PR needs to support every possible input type that anyone can think of, the barrier would be too high for newcomers. Instead, the principle is to be as correct as possible to begin with, and grow the generic support over time. All... -
7
whylogs
The open standard for data logging
...With whylogs, users are able to generate summaries of their datasets (called whylogs profiles) which they can use to track changes in their dataset Create data constraints to know whether their data looks the way it should. Quickly visualize key summary statistics about their datasets. whylogs profiles are the core of the whylogs library. They capture key statistical properties of data, such as the distribution (far beyond simple mean, median, and standard deviation measures), the number of missing values, and a wide range of configurable custom metrics. By capturing these summary statistics, we are able to accurately represent the data and enable all of the use cases described in the introduction. -
8
Timesketch
Collaborative forensic timeline analysis
Timesketch is a collaborative forensic timeline analysis platform used to investigate security incidents by turning diverse evidence into a single, searchable chronology. Analysts ingest logs and artifacts from many sources—endpoints, servers, cloud services—and Timesketch normalizes them into events on a unified timeline. Powerful search, aggregations, and saved views help you pivot quickly, highlight anomalies, and preserve investigative steps for later review. The system supports tagging,... -
9
Siddhi Core Libraries
Stream Processing and Complex Event Processing Engine
Fully open source, cloud-native, scalable, micro streaming, and complex event processing system capable of building event-driven applications for use cases such as real-time analytics, data integration, notification management, and adaptive decision-making. Event processing logic can be written using Streaming SQL queries via graphical and source editors, to capture events from diverse data sources, process and analyze them, integrate with multiple services and data stores, and publish output to various endpoints in real time. Agile development experience with SQL-like query language and graphical drag-and-drop editor supporting event simulation. Lightweight runtime that can natively run on Kubernetes, Docker, VM, or bare metal, and embedded in any Java or Python application. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
Jitsu
Jitsu is an open-source Segment alternative
Jitsu is a fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days. Installing Jitsu is a matter of selecting your framework and adding few lines of code to your app. Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in... -
11
StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
...Get amazing query performance on Star or Snowflake Schemas directly. From canceled orders to updated items, your analytics applications can easily handle them with StarRocks. From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. Scale storage and computing power horizontally and support tens of thousands of concurrent users. All of your BI tools work with StarRocks through standard SQL. StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios. -
12
OmniGraffle Stencil for TRAK
Simple, pragmatic enterprise architecture for the mobile
...Using the stencil in conjunction with the defining TRAK documents you can be up and creating architecture description in minutes. When used with OmniGraffle Pro it also provides the attributes for each object to capture extra information. When used on the iPad and with OmniGraffle on the Mac this information is preserved. This project is the master source of the stencil which is also distributed via OmniGraffle and Graffletopia. (Visio equivalent for TRAK at https://sf.net/p/trakforvisio) -
13
data-diff
Efficiently diff rows across two different databases
...The hard truth is that the quality of the replication is the quality of the data. Since copying entire datasets in batch is often infeasible at the modern data scale, businesses rely on the Change Data Capture (CDC) approach of replicating data using a continuous stream of updates. -
14
Weave
Scientific reports/literate programming for Julia
Weave is a scientific report generator/literate programming tool for the Julia programming language. It resembles Pweave, knitr, R Markdown, and Sweave. You can write your documentation and code in an input document using Markdown, Noweb or ordinal Julia script syntax, and then use the weave function to execute code and generate an output document while capturing results and figures. Supports various output document formats: HTML, PDF, GitHub markdown, Jupyter Notebook, MultiMarkdown,... -
15
TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on. -
16
Luminance HDR
Complete solution for HDR photography
Luminance HDR is a complete suite for HDR imaging workflow. It provides a wide range of functionalities, during both the fusion stage and the tonemapping stage. Its graphical user interface, based on Qt5, runs on a variety of platforms, such as Microsoft Windows, Mac OS X 10.9 and later and several Unix flavors (Linux, FreeBSD and others). Input images can be supplied in multiple formats, from JPEG to RAW files. In the same way, output can be saved in many different formats as well, from... -
17
DISTOD
Distributed discovery of bidirectional order dependencies
...DISTOD is based on the single-threaded FASTOD-BID algorithm [1], but DISTOD scales elastically to many machines outperforming FASTOD-BID by up to orders of magnitude. Bidirectional order dependencies (bODs) capture order relationships between lists of attributes in a relational table. They can express that, for example, sorting books by publication date in ascending order also sorts them by age in descending order. The knowledge about order relationships is useful for many data management tasks, such as query optimization, data cleaning, or consistency checking. ... -
18
ksqlDB
The database purpose-built for stream processing applications
...Seamlessly leverage your existing Apache Kafka® infrastructure to deploy stream-processing workloads and bring powerful new capabilities to your applications. Use a familiar, lightweight syntax to pack a powerful punch. Capture, process, and serve queries using only SQL. No other languages or services are required. ksqlDB enables you to build event streaming applications leveraging your familiarity with relational databases. Three categories are foundational to building an application: collections, stream processing, and queries. Streams are immutable, append-only sequences of events. ... -
19
SIVIC is an open-source, standards-based software framework and application suite for processing and visualization of DICOM MR Spectroscopy data. Through the use of DICOM, SIVIC aims to facilitate the application of MRS in medical imaging studies.
-
20
xeogl
A WebGL-based 3D engine for technical visualization
...Emphasis effects (wireframe, ghost, highlight, outline). Annotations. Cross-section views. Scene object hierarchies. Transform hierarchies. Bounding volumes. 3D picking, raycasting. Screen capture. You can dynamically edit most things in your scene at runtime. Animate your scenes by updating the properties of their components. Load 3D models into your scene from glTF. -
21
fooltrader
Quant framework for stock
Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and trading. Its applicable objects include quantitative traders, teachers, and students majoring in finance, people interested in economic data, programmers, and people who like freedom and the spirit of exploration. ... -
22
MOIRAI
Simple Scientific Workflow System for CAGE Analysis
Cap analysis of gene expression (CAGE) is a sequencing based technology to capture the 5’ ends of RNAs in a biological sample. After mapping, a CAGE peak on the genome indicates the position of an active transcriptional start site (TSS) and the number of reads correspond to its expression level. CAGE is prominently used in both the FANTOM and ENCODE project. MOIRAI is a compact yet flexible workflow system designed to carry out the main steps in data processing and analysis of CAGE data. ... -
23
Perl OBD-II Logger
A Perl program for logging OBD-II PID data
The goal of the Perl OBD-II Logger project is to create a flexible and efficient application that can capture and log OBD-II Mode 0x01 PID data from an automotive scantool. It is designed with accurate and efficient PID data logging in mind, and provides NO support for reading or resetting diagnostic trouble codes. By default, the output log file contains time-stamped PID values in a simple Comma Separated Values (CSV) format that can be readily imported into popular data analysis or spreadsheet applications. ... -
24
Chordalysis
Log-linear analysis (data modelling) for high-dimensional data
===== Project moved to https://github.com/fpetitjean/Chordalysis ===== Log-linear analysis is the statistical method used to capture multi-way relationships between variables. However, due to its exponential nature, previous approaches did not allow scale-up to more than a dozen variables. We present here Chordalysis, a log-linear analysis method for big data. Chordalysis exploits recent discoveries in graph theory by representing complex models as compositions of triangular structures, also known as chordal graphs. ... -
25
Xmind
The most popular mindmapping and brainstorming software
Professional and powerful brainstorming and mind mapping software tool, open source, Eclipse Community Award winner, often used for capture ideas, knowledge/project management and GTD, supporting fishbones/org-charts/tree charts/spreadsheets, easy-to-use.
