Search Results for "data analysis" - Page 14
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Showing 2195 open source projects for "data analysis"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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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.
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Metabigor
Command-line OSINT and reconnaissance tool without API keys
Metabigor is a command-line intelligence and OSINT tool designed to perform reconnaissance and security research tasks without requiring API keys. It focuses on simplifying access to public intelligence sources so that researchers, penetration testers, and bug bounty hunters can gather information efficiently from a single interface. It enables users to discover IP ranges, domains, and infrastructure details related to organizations, domains, or autonomous systems. Metabigor integrates... -
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Instaloader
Download pictures (or videos) along with their captions
...The tool supports both public and permitted private content when proper authentication is provided, making it useful for research, digital archiving, and social media analysis. Instaloader can be run as a simple command-line tool or used programmatically through its Python module, offering flexibility for automation workflows. It includes smart update mechanisms that resume interrupted downloads and fetch only new media to maintain efficient archives. The project is widely adopted by investigators and analysts who need structured Instagram data collection. ... -
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OpenTelemetry Collector distributions
OpenTelemetry Collector Official Releases
High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of APIs, SDKs, and tools. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. Create and collect telemetry from your services and software, then forward it to a variety of analysis tools. OpenTelemetry integrates with many popular libraries and frameworks, and supports code-based and zero-code instrumentation. -
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BrowserOS
Agentic browser; privacy-first alternative to ChatGPT Atlas
BrowserOS is an open-source, agentic web browser built on a Chromium base that integrates AI agents directly into the browsing experience. Rather than just doing standard browsing, it places AI intelligence at the core: you can connect your own API keys (for e.g., OpenAI, Anthropic, Google Gemini) or run local models (via e.g., Ollama) so that your browsing data and automation stay on your machine — privacy and control are emphasized throughout. The interface remains familiar to users of... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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julep
A new DSL and server for AI agents and multi-step tasks
Julep is a platform for creating AI agents that remember past interactions and can perform complex tasks. It offers long-term memory and manages multi-step processes. Julep enables the creation of multi-step tasks incorporating decision-making, loops, parallel processing, and integration with numerous external tools and APIs. While many AI applications are limited to simple, linear chains of prompts and API calls with minimal branching, Julep is built to handle more complex scenarios. -
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Fingerprint Pro Server Go SDK
Go SDK for Fingerprint Pro Server API
Fingerprint Pro Server API allows you to get information about visitors and about individual events in a server environment. It can be used for data exports, decision-making, and data analysis scenarios. Server API is intended for server-side usage, it's not intended to be used from the client side, whether it's a browser or a mobile device. -
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FingerprintPro.ServerSdk
C#/Dotnet SDK for Fingerprint Pro Server API
Fingerprint Pro Server API allows you to get information about visitors and about individual events in a server environment. It can be used for data exports, decision-making, and data analysis scenarios. Server API is intended for server-side usage, it's not intended to be used from the client side, whether it's a browser or a mobile device. -
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Text2Code for Jupyter notebook
A proof-of-concept jupyter extension which converts english queries
Text2Code for Jupyter notebook project is a proof-of-concept extension for Jupyter Notebook that allows users to generate Python code directly from natural language queries written in English. The tool is designed to simplify data analysis workflows by enabling users to describe their intended operation in plain language instead of manually writing code. When a user enters a textual command, the extension interprets the request and generates a corresponding Python code snippet that can be inserted into the notebook and executed automatically. The system uses natural language processing techniques to identify the intent of the query, extract relevant variables, and map the request to predefined code templates. ... -
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TaxHacker
Self-hosted AI accounting app. LLM analyzer for receipts
...It integrates large language models to analyze these documents, extract relevant financial information, and categorize expenses or income based on configurable rules. Users can deploy the application on their own infrastructure, ensuring that financial data remains private and under their control rather than being processed by external services. The software provides tools for tracking income streams, monitoring expenses, and organizing financial records in a structured format. Because the system supports customizable prompts and categories, users can adapt the AI analysis to match their accounting workflows or tax requirements. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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TrendRadar
AI-driven public opinion trend monitor with multi-platform aggregation
...By combining AI judgment with broad data ingestion, TrendRadar empowers individuals and teams to track public opinion, news cycles, and emerging topics without manual scanning of dozens of websites. -
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RuboCop
A Ruby static code analyzer and formatter, based on the community Ruby
RuboCop is a Ruby static code analyzer (a.k.a. linter) and code formatter. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide. RuboCop packs a lot of features on top of what you’d normally expect from a linter. Works with every major Ruby implementation. Autocorrection of many of the code offenses it detects. Robust code formatting capabilities. Multiple result for matters for both interactive use and for feeding data into other tools. Ability to... -
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TypeScript Express Starter
Quick and Easy TypeScript Express Starter
Express consists of JavaScript, which makes it vulnerable to type definitions. That's why we avoid supersets with starter packages that introduce TypeScript. The package is configured to use TypeScript instead of JavaScript. Express is a fast, open and concise web framework and is a Node.js based project. npx is a tool in the JavaScript package management module, npm. This is a tool that allows you to run the npm package on a single run without installing the package. If you do not enter a... -
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TensorFlow Probability
Probabilistic reasoning and statistical analysis in TensorFlow
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis. TensorFlow Probability (TFP) is a Python library built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware (TPU, GPU). It's for data scientists, statisticians, ML researchers, and practitioners who want to encode domain knowledge to understand data and make predictions. Since TFP inherits the benefits of TensorFlow, you can build, fit, and deploy a model using a single language throughout the lifecycle of model exploration and production. ... -
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rest.js
GitHub REST API client for JavaScript
GitHub REST API client for JavaScript. Import the Octokit constructor based on your platform. Instantiate your octokit API. All options are optional, but authentication is strongly encouraged. API Previews can be enabled globally by setting the previews option. They can be set per-request as well. A default time zone can be enabled by setting the timeZone option. In order to use Octokit with GitHub Enterprise, set the baseUrl option. Most of GitHub’s REST API endpoints have matching methods.... -
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The ReflectionDocBlock Component
Component of phpDocumentor provides a DocBlock parser
...It lets libraries and tools read structured documentation comments and extract information such as descriptions, tags, types, parameters, return values, and annotations. The component is associated with phpDocumentor and is designed to be compatible with the PHPDoc standard. It is useful for documentation generators, static analysis tools, IDE helpers, annotation systems, and frameworks that depend on metadata stored in comments. Developers can install it through Composer and use it as a reusable parser rather than writing custom DocBlock handling. The project helps PHP tooling turn human-written comments into structured data that software can inspect. -
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Agent Behavior Monitoring
The open source post-building layer for agents
Agent Behavior Monitoring is an open-source framework designed to monitor, evaluate, and improve the behavior of AI agents operating in real or simulated environments. The system focuses on agent behavior monitoring by collecting interaction data and analyzing how agents perform across different scenarios and tasks. Developers can use the framework to observe agent actions in both online production environments and offline evaluation settings, making it useful for debugging and performance analysis. Judgeval transforms agent interaction trajectories into structured evaluation datasets that can be used for reinforcement learning, supervised fine-tuning, or other forms of post-training improvement. ... -
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Spider
High-performance Rust web crawler and scraper for large-scale data
...Spider can operate concurrently across many pages, allowing it to gather large datasets in a short period of time. Spider also provides mechanisms for subscribing to crawl events so developers can process page data such as URLs, status codes, or HTML content as it is discovered. It supports advanced capabilities such as headless browser rendering, background crawling tasks, and configurable rules that control crawl depth or ignored paths. These capabilities make the project suitable for building search indexers, data extraction pipelines, & SEO analysis tools. -
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Python 100 Days
Python - From Novice to Master in 100 Days
Data analysis and visualization receive dedicated coverage via NumPy, pandas, matplotlib, seaborn, and pyecharts, followed by an applied machine learning track with kNN, trees, Bayes, regression, clustering, ensembles, and neural networks. -
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Veritas RIXS Analysis
Advanced data analysis for Veritas beamline at MAX IV
You can do advanced analysis using the raw data from RIXS .h5 file. It has several tabs using which you can do different types of analysis, thereby utilizing the full potential of the Veritas beamline. Some of the features in addition to standard RIXS data analysis are: - continuous and discrete RIXS maps, - RIXS spectromicroscopy, - radiation damage analysis, - Q calibrations. -
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GNU Emacs / N Λ N O
Emacs made simple
...This makes it appealing for users who like the power of Emacs (or similar advanced editors) but want a fast, responsive, and easy-to-maintain editor. Nano-Emacs can be especially useful for scripting, quick edits, data-analysis workflows, or writing in scientific/research contexts, especially when you want something more powerful than a simple text editor but lighter than a full IDE. -
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Chrome DevTools MCP
Chrome DevTools for coding agents
chrome-devtools-mcp is an MCP server that connects AI agents to the Chrome DevTools Protocol so they can inspect pages, record traces, read console/network data, and modify the live browser state under user control. It makes a running Chrome instance visible to MCP clients, enabling agents to debug websites end-to-end—launching Chrome, navigating, profiling, and collecting artifacts in a structured way. The repository spells out environment requirements and cautions that exposing a live... -
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Docker-ELK
The Elastic stack (ELK) powered by Docker and Compose
A turnkey Docker Compose stack to spin up the ELK stack (Elasticsearch, Logstash, Kibana) for log collection, analysis, and visualization. Based on official Elastic images and enhanced with configuration defaults optimized for local development and testing. -
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Pluely
The Open Source Alternative to Cluely
...The system focuses on orchestrating tasks performed by large language models and other AI components, allowing developers to define structured workflows where models interact with tools, APIs, and external systems. By providing a modular architecture for building AI pipelines, the platform enables developers to connect multiple processing steps such as data retrieval, prompt execution, analysis, and response generation. The project emphasizes flexibility, allowing developers to extend the platform with custom integrations and automation logic. This makes the framework suitable for building intelligent assistants, automated business workflows, and data-processing pipelines that rely on generative AI capabilities. -
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. -
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segment-geospatial
A Python package for segmenting geospatial data with the SAM
The segment-geospatial package draws its inspiration from segment-anything-eo repository authored by Aliaksandr Hancharenka. To facilitate the use of the Segment Anything Model (SAM) for geospatial data, I have developed the segment-anything-py and segment-geospatial Python packages, which are now available on PyPI and conda-forge. My primary objective is to simplify the process of leveraging SAM for geospatial data analysis by enabling users to achieve this with minimal coding effort. I have adapted the source code of segment-geospatial from the segment-anything-eo repository, and credit for its original version goes to Aliaksandr Hancharenka.