Search Results for "data capture framework" - Page 36
Sort By:
Showing 2278 open source projects for "data capture framework"
View related business solutions-
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.
-
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
-
1
PhoneInfoga
Information gathering framework for phone numbers
PhoneInfoga is an open-source intelligence framework focused on gathering and analyzing information related to international phone numbers. The tool aggregates data from multiple scanners and external services to provide contextual intelligence such as country, carrier, line type, and potential VoIP provider details. It is designed primarily for investigators, analysts, and security researchers who need structured phone-number reconnaissance rather than real-time tracking. ... -
2
cerberuscms2
Cerberus Content Management System
Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text, Voice and Video Communications Platform and Content Management System in the world. ... -
3
local-llm
Run LLMs locally on Cloud Workstations
local-llm is a development framework that enables developers to run large language models locally within Google Cloud Workstations or standard environments without requiring GPU hardware. It focuses on making generative AI development more accessible by leveraging quantized models and CPU-based execution, eliminating the dependency on expensive GPU infrastructure. -
4
Luminal
Deep learning at the speed of light
Luminal is a framework designed to accelerate and simplify the development of systems-level data applications by using a typed, functional, and streaming-first approach. Instead of treating data processing as a series of ad-hoc scripts, Luminal models transformations as strongly typed building blocks that can be composed into reliable, scalable pipelines. -
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.
-
5
Breakpad
Mirror of Google Breakpad project
Breakpad is an open source crash reporting system developed by Google that provides both client and server components to capture, analyze, and report software crashes across platforms. It is designed to help developers diagnose and fix crashes efficiently by generating detailed crash dumps, stack traces, and diagnostic data whenever an application fails unexpectedly. The framework includes libraries for embedding crash-handling functionality directly into applications and tools for processing and symbolizing crash dumps on the server side. ... -
6
EasyML
EasyML serialization library, to and from XML, similar to Gson
EasyML converts Java objects into XML and back again, without the need for annotations or other types of configuration. EasyML offers extensive support for JDK classes and also supports customization through user settings, user extensions, or through the Java Serialization API. EasyML provides support for: - reading and writing XML text and/or org.w3c.dom documents - Java Collections framework - Java Serialization framework - Multi-threading - Java Generics and functional... -
7
Featureform
Turn your existing data infrastructure into a feature store
Featureform allows data scientists to define, manage, and serve machine learning features across your organization. The days of untitled_128.ipynb are over. Transformations, features, and training sets can be pushed from notebooks to a centralized feature repository with metadata like name, variant, lineage, and owner. Featureform's Virtual Feature Store architecture orchestrates your data infrastructure to build and maintain your training sets and production features. ... -
8
dbt-re-data
re_data - fix data issues before your users & CEO would discover them
re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlaying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Data transformations in re_data are implemented and exposed as models & macros in this dbt package. Gather all relevant outputs about your data in one place using our cloud. -
9
Statistical Rethinking 2024
This course teaches data analysis
The 2024 repository is the most recent version of the course, reflecting ongoing refinements in pedagogy, statistical modeling techniques, and coding practices. It provides updated notebooks, R scripts, and model examples, some streamlined and restructured compared to previous years. The 2024 repo also highlights the transition toward more robust Stan models and integration with newer Bayesian workflow practices, continuing to emphasize accessibility for learners while modernizing the tools.... -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
10
VulcanSQL
Data API Framework for AI Agents and Data Apps
Vulcan SQL is a modern data API framework that lets you build secure and scalable data APIs directly from SQL files. Designed for data teams, it allows the definition of parameterized queries, policy enforcement, and transformation layers using familiar SQL syntax. Vulcan SQL integrates with BI tools and data warehouses, making it easy to expose internal datasets as RESTful APIs. -
11
ToRA
Tool-integrated Reasoning LLM Agents
...This approach allows the model to reason step by step in natural language and then execute precise calculations or code through tool calls, creating a hybrid reasoning workflow. The framework was designed to address known weaknesses of large language models in mathematical problem solving and formal reasoning tasks. Training data includes tool-use trajectories that teach the model when to reason verbally and when to delegate tasks to specialized tools. -
12
Kompute
General purpose GPU compute framework built on Vulkan
General purpose GPU compute framework built on Vulkan to support 1000s of cross-vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous, and optimized for advanced GPU data processing use cases. Backed by the Linux Foundation. -
13
Obsei
Obsei is a low code AI powered automation tool
Obsei is an automated no-code/low-code AI-powered text observation and analysis framework, designed for extracting insights from unstructured text data such as social media, reviews, and logs. -
14
Digital Forensics Guide
Learn all about Digital Forensics and Computer Forensics
...Alongside conceptual explanations, the guide includes practical examples with widely used tools (like Autopsy, Volatility, Sleuth Kit, and network analysis suites), illustrating how investigations proceed from initial data capture to final analysis. The goal is to provide both a learning path and a quick reference for real-world casework, bridging the gap between academic theory and operational practice. -
15
Ulfius HTTP Framework
Web Framework to build REST APIs, Webservices or any HTTP endpoint
HTTP Framework for REST Applications in C. Based on GNU libmicrohttpd for the backend web server, Jansson for the json manipulation library, and Libcurl for the SMTP client API. Used to facilitate the creation of web applications in C programs with a small memory footprint, as in embedded systems applications. You can create web services in HTTP or HTTPS mode, stream data, or implement server web sockets. -
16
Apache JMeter
Load testing tool for analyzing and measuring performance of services
The Apache JMeter™ application is open-source software, a 100% pure Java application designed to load test functional behavior and measure performance. It was originally designed for testing Web Applications but has since expanded to other test functions. Apache JMeter may be used to test performance both on static and dynamic resources, Web dynamic applications. It can be used to simulate a heavy load on a server, group of servers, network or object to test its strength or to analyze... -
17
axflow
The TypeScript framework for AI development
...Additional components support data ingestion, evaluation, and model interaction workflows that are commonly required when building production AI systems. For example, the framework includes modules for connecting application data to language models, evaluating the quality of model outputs, and building streaming user interfaces. Because each component can be used independently, developers can adopt Axflow incrementally rather than committing to a monolithic framework. -
18
autollm
Ship RAG based LLM web apps in seconds
...AutoLLM supports a broad range of language models and vector databases, which makes it useful for teams that want flexibility without rewriting their application architecture every time they switch providers. The framework also includes built-in readers for multiple content sources such as PDFs, DOCX files, notebooks, websites, and other document types, which helps shorten the time between raw data and a working knowledge application. -
19
re_data
re_data - fix data issues before your users & CEO would discover them
re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata. -
20
DiDaCo
DiDaCo (Diffraction Data Converter)
Features: • Change the wavelength of X-rays • Sum the points by increasing the step • Extract bar charts from .xml PDF4+ cards For ran: unzip the archive and run DiDaCo.exe Required: • Windows 7 or newer • Microsoft .NET Framework 4: www.microsoft.com/en-US/download/details.aspx?id=17851 (Web Installer, 1 Mb) www.microsoft.com/en-us/download/details.aspx?id=17718 (Standalone Installer, 48 Mb) • Microsoft Visual C++ Redistributable: ... -
21
Mara Pipelines
A lightweight opinionated ETL framework, halfway between plain scripts
This package contains a lightweight data transformation framework with a focus on transparency and complexity reduction. Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code. PostgreSQL as a data processing engine. Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines. GNU make semantics. -
22
DB-GPT-Hub
A repository that contains models, datasets, and fine-tuning
...The project serves as a specialized extension of the broader DB-GPT ecosystem, focusing on the preparation and evaluation of models capable of translating natural language questions into structured database queries. It offers a modular framework that supports data preparation, model fine-tuning, benchmarking, and inference for Text-to-SQL systems. The repository includes datasets and experiment configurations that allow researchers to train models on real database schemas and evaluate them using standardized benchmarks. Its design encourages experimentation with different large language models and fine-tuning techniques, including parameter-efficient training approaches. -
23
Adala
Adala: Autonomous DAta (Labeling) Agent framework
Adala is a data-centric AI framework focused on dataset curation, annotation, and validation. It helps AI teams manage high-quality training datasets by providing tools for data auditing, error detection, and quality assessment. -
24
towhee
Framework that is dedicated to making neural data processing
Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to... -
25
LLaMA-MoE
Building Mixture-of-Experts from LLaMA with Continual Pre-training
LLaMA-MoE is an open-source project that builds mixture-of-experts language models from LLaMA through expert partitioning and continual pre-training. The repository is centered on making MoE research more accessible by offering smaller and more affordable models with only about 3.0 to 3.5 billion activated parameters, which helps reduce deployment and experimentation costs. Its architecture works by splitting LLaMA feed-forward networks into sparse experts and adding gating mechanisms so...
