Search Results for "records"
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Showing 116 open source projects for "records"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Mobile Verification Toolkit
Helps with conducting forensics of mobile devices
...Using it requires understanding the basics of forensic analysis and using command-line tools. This is not intended for end-user self-assessment. If you are concerned with the security of your device please seek expert assistance. Compare extracted records to a provided list of malicious indicators in STIX2 format. Generate JSON logs of extracted records, and separate JSON logs of all detected malicious traces. -
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KeymouseGo
Automate mouse clicks and keyboard input
KeymouseGo is a lightweight, open-source Windows/Mac/Linux automation tool built with Python. It records and replays mouse and keyboard actions—for example, click sequences and typing—allowing repetition of repetitive tasks via scripts or GUI buttons. -
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Airtable MCP
Airtable integration for AI-powered applications
Airtable MCP is an integration tool that enables AI-powered applications to access and manipulate Airtable databases directly from the IDE using Anthropic's Model Context Protocol (MCP). It allows querying, creating, updating, and deleting records using natural language, facilitating seamless data management. -
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django-import-export
Django application and library for importing and exporting data
...Support multiple formats (Excel, CSV, JSON, and everything else that tablib supports) Admin integration for importing. Preview import changes. Admin integration for exporting. Export data respecting admin filters. By default all records will be imported, even if no changes are detected. This can be changed setting the skip_unchanged option. Also, the report_skipped option controls whether skipped records appear in the import Result object, and if using the admin whether skipped records will show in the import preview page. Not all data can be easily extracted from an object/model attribute. ... -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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5
OpenDAN
OpenDAN is an open source Personal AI OS
OpenDAN is an open-source Personal AI OS , that consolidates various AI modules in one place for your personal use. The goal of OpenDAN (Open and Do Anything Now with AI) is to create a Personal AI OS , which provides a runtime environment for various Al modules as well as protocols for interoperability between them. With OpenDAN, users can securely collaborate with various AI modules using their private data to create powerful personal AI agents, such as butlers, lawyers, doctors, teachers,... -
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Awkward Array
Manipulate JSON-like data with NumPy-like idioms
Awkward Array is a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms. Arrays are dynamically typed, but operations on them are compiled and fast. Their behavior coincides with NumPy when array dimensions are regular and generalizes when they're not. -
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Frigate
NVR with realtime local object detection for IP cameras
Frigate - NVR With Realtime Object Detection for IP Cameras A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead. -
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WhatsApp Beacon
OSINT tool for tracking WhatsApp online status via Web automation
...It uses Selenium automation to interact with the web interface and detect when a target account goes online or offline. By continuously monitoring these changes, WhatsApp Beacon records connectivity patterns and builds a historical dataset of activity sessions. The collected information is stored in logs and a local database, allowing users to review behavioral patterns over time. In addition, the project supports exporting collected data to spreadsheet formats for further analysis or reporting. WhatsApp Beacon is designed to run across multiple operating systems and can operate in the background using headless browser automation. ... -
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Mail-in-a-Box
Take back control of your email with this mail server in a box
Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server, a mail server in a box. Mail-in-a-Box lets you become your own mail service provider in a few easy steps. It’s sort of like making your own gmail, but one you control from top to bottom. Technically, Mail-in-a-Box turns a fresh cloud computer into a working mail server. But you don’t need to be a technology expert to set it up. Our goals are to make deploying... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Polymarket Data
Polymarket Data Retriever that fetches, processes, and structures data
...It begins by fetching market metadata such as questions, outcomes, and trading volumes, then proceeds to scrape order-filled events from a GraphQL-based subgraph, and finally transforms these raw events into structured trade-level records with calculated prices and directions. One of its key strengths is its ability to run incrementally and resume operations automatically, making it suitable for long-running data collection without duplication or data loss. -
11
Flowsint
Graph-based OSINT investigation platform w visual relationship mapping
...By presenting these relationships in an interactive graph, Flowsint allows users to quickly identify patterns, associations, and investigative leads that might be difficult to detect through traditional data analysis methods. The system includes automated enrichers that gather additional intelligence about entities such as domain records, social media profiles, network infrastructure, and cryptocurrency activity. Its modular architecture separates the frontend application, API server, core services, and enrichment modules, making the platform extensible and easier to expand with new investigative capabilities. -
12
ipwb
A distributed and persistent archive replay system using IPFS
...IPFS is a peer-to-peer content-addressable file system that inherently allows deduplication and facilitates opt-in replication. ipwb splits the header and payload of WARC response records before disseminating into IPFS to leverage the deduplication, builds a CDXJ index with references to the IPFS hashes returned, and combines the header and payload from IPFS at the time of replay. An important aspect of archival replay systems is rewriting various resource references for proper memento reconstruction so that they are dereferenced properly from the archive from around the same datetime as of the root memento and not from the live site (in which case the resource might have changed or gone missing). ... -
13
Argus
Python toolkit for OSINT and reconnaissance with 135+ modules
Argus is a Python-based open source toolkit designed to simplify information gathering and reconnaissance tasks in cybersecurity. It provides an integrated command-line environment that consolidates numerous reconnaissance utilities into a single framework. The tool enables users to collect data about networks, domains, web applications, and infrastructure in an organized and efficient manner. Argus includes a modular architecture with more than 130 modules that support activities such as... -
14
NetworkX
Network analysis in Python
...Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested with over 90% code coverage. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. ... -
15
Watchman
A file watching service that records when files change
Watchman purpose is to watch files and record when there are changes. It can trigger actions (rebuilding assets, for example) when there is a change in matching files. The watchman executable has both the client and the server components of the watchman service. When running watchman, it will attempt to communicate with your existing server instance (each user has their own persistent process), and will attempt to start it if it doesn’t exist. There are some options that affect how watchman... -
16
Rogue
AI Agent Evaluator & Red Team Platform
...The system allows developers to define specific scenarios, expected outcomes, and business rules so that the framework can verify whether an agent behaves according to required policies. During testing, Rogue records conversations and produces detailed reports that explain whether the agent passed or failed each scenario. These reports include reasoning and evidence, helping developers understand why a particular failure occurred. -
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Argilla
The open-source data curation platform for LLMs
Argilla is a production-ready framework for building and improving datasets for NLP projects. Deploy your own Argilla Server on Spaces with a few clicks. Use embeddings to find the most similar records with the UI. This feature uses vector search combined with traditional search (keyword and filter based). Argilla is free, open-source, and 100% compatible with major NLP libraries (Hugging Face transformers, spaCy, Stanford Stanza, Flair, etc.). In fact, you can use and combine your preferred libraries without implementing any specific interface. ... -
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Weights and Biases
Tool for visualizing and tracking your machine learning experiments
Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. Reproduce any model, with saved... -
19
FinGLM
Committed to building an open, public welfare
...The project focuses on developing domain-specific language models that understand financial terminology, corporate reports, and economic datasets. By combining large language model architectures with financial datasets such as corporate annual reports and structured financial records, FinGLM aims to improve AI performance on tasks that require domain expertise. The repository also provides educational materials and tutorials that help developers learn how to build and fine-tune financial AI systems using the GLM model ecosystem. In addition to model development, the project promotes collaboration between researchers, companies, and developers interested in applying AI to financial analysis. -
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FinalRecon
All-in-one Python web reconnaissance tool for fast target analysis
...It includes modules for gathering server information, analyzing SSL certificates, performing WHOIS lookups, and crawling website resources. FinalRecon can also enumerate DNS records, discover subdomains, search for directories and files, and scan common network ports. Historical URLs and resources can be retrieved from archived sources to help analyze changes in a website over time. Designed primarily for penetration testers and security researchers, FinalRecon simplifies the reconnaissance phase of security assessments. -
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buku
Personal mini-web in text
...Search bookmarks instantly with multiple search options, including regex and a deep scan mode (handy with URLs). It can look up broken links on Wayback Machine. There's an Easter Egg to revisit random bookmarks. There's no tracking, hidden history, obsolete records, usage analytics or homing. To get started right away, jump to the Quickstart section. buku has one of the best documentation around. The man page comes with examples. -
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Pandas Profiling
Create HTML profiling reports from pandas DataFrame objects
...Most common categories (uppercase, lowercase, separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic). File sizes, creation dates, dimensions, indication of truncated images and existance of EXIF metadata. Mostly global details about the dataset (number of records, number of variables, overall missigness and duplicates, memory footprint). Comprehensive and automatic list of potential data quality issues (high correlation, skewness, uniformity, zeros, missing values, constant values, between others). -
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SwanLab
An open-source, modern-design AI training tracking and visualization
SwanLab is an open-source experiment tracking and visualization platform designed to help machine learning engineers monitor, compare, and analyze the training of artificial intelligence models. The tool records training metrics, hyperparameters, model outputs, and experiment configurations so that developers can easily understand how different experiments perform over time. It provides a modern user interface for visualizing results, enabling teams to compare runs, track model performance trends, and collaborate on machine learning research. ... -
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VCR.py
Automatically mock your HTTP interactions to simplify testing
Automatically mock your HTTP interactions to simplify and speed up testing. VCR.py simplifies and speeds up tests that make HTTP requests. The first time you run code that is inside a VCR.py context manager or decorated function, VCR.py records all HTTP interactions that take place through the libraries it supports and serializes and writes them to a flat file (in yaml format by default). This flat file is called a cassette. When the relevant piece of code is executed again, VCR.py will read the serialized requests and responses from the aforementioned cassette file, and intercept any HTTP requests that it recognizes from the original test run and return the responses that corresponded to those requests. ... -
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Flask App Builder
Simple and rapid application development framework
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Automatic permissions lookup, based on exposed methods. Inserts on the Database all the detailed permissions possible on your application. Public (no authentication needed) and Private permissions. Role-based permissions. Authentication support for OpenID, Database and LDAP. Support for self-user registration. Automatic,...
