Search Results for "google-visualization-python" - Page 2
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Showing 492 open source projects for "google-visualization-python"
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DictDataBase
A python NoSQL dictionary database, with concurrent access and ACID
DictDataBase (DictDB) is a lightweight, Python-based in-memory database that uses dictionaries as its primary data structure. It provides a simple and efficient way to store, retrieve, and manipulate data without requiring an external database server. DictDB is useful for applications needing fast lookups, temporary storage, or embedded database functionalities. -
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Advanced Alchemy
A carefully crafted, thoroughly tested, optimized companion library
...It simplifies common ORM patterns such as CRUD, pagination, and async support while providing extensibility and best practices out of the box. It’s designed to accelerate backend development for modern Python web apps. -
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sqlite-web
Web-based SQLite database browser written in Python
sqlite-web is a web-based SQLite database browser written in Python. It lets users open existing SQLite databases or create new ones through a browser interface. The tool can browse table data, inspect database structure, and run arbitrary SQL queries from a dedicated query tab. It also supports common editing actions, including inserting, updating, and deleting rows. Users can add or drop tables, columns, and indexes, and they can import or export data in JSON or CSV format. -
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OrientDB
DBMS supporting graph, document, full-text and geospatial models
OrientDB is an Open Source Multi-Model NoSQL DBMS with the support of Native Graphs, Documents, Full-Text search, Reactivity, Geo-Spatial and Object Oriented concepts. It's written in Java and it's amazingly fast. No expensive run-time JOINs, connections are managed as persistent pointers between records. You can traverse thousands of records in no time. Supports schema-less, schema-full and schema-mixed modes. Has a strong security profiling system based on user, roles and predicate... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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athenaSQL
SQL builder for AWS Athena, inspired by sparkSQL
athenaSQL is Athena SQL query builder, inspired by sparkSQL. It borrow some sparkSQL’s concept sparkSQL. It was initially designed to eliminate the need for hard-coding SQL queries as strings within Python scripts and as an alternative to any bespoke SQL query templating. However, it offers the flexibility to be used in various ways as needed. -
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Ibis
Expressive analytics in Python at any scale
Ibis is a Python library to help you write expressive analytics at any scale, small to large. Its goal is to simplify analytical workflows and make you more productive. Ibis gives you the benefit of a programming language. You don't need to sacrifice maintainability to get to those insights! Ibis builds on top of and works with existing Python tools. -
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KCloud‑Platform‑IoT
KCloud-Platform-IoT
KCloud-Platform-IoT is a comprehensive open-source IoT management platform built with Spring Cloud and Vue.js. It supports device registration, data collection, rule-based processing, and dashboard visualization. Designed for scalability and modularity, the platform is ideal for managing large IoT fleets in industrial or smart city environments. -
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django-pgtrigger
Write Postgres triggers for your Django models
django-pgtrigger is a Django library for defining and managing PostgreSQL triggers directly in Python code. It allows developers to create database-level logic like automatic field updates, auditing, or validation without writing raw SQL. It’s ideal for teams that want stronger data integrity while keeping logic version-controlled. -
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ChartDB
Database diagrams editor to visualize and design your DB
ChartDB is a web-based database diagramming editor that allows users to visualize and design their database schemas with a single "Smart Query." It offers instant schema import, customization options, and the ability to export SQL scripts, all without requiring an account. ChartDB is ideal for developers and teams looking to streamline database design and documentation. -
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Fapro
Fake Protocol Server
Fapro is an open-source asset discovery and vulnerability scanning tool developed by Fofa Pro. It assists in identifying and managing network assets, detecting potential vulnerabilities, and enhancing overall security posture -
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InfluxDB
The open source time series database
InfluxDB is an open source time series datastore designed to handle high write and query loads. Time series is currently the fastest growing database category there is, and InfluxDB is here to ensure businesses can keep up. InfluxDB provides infrastructure and application monitoring, IoT monitoring and analytics and more. It has APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes. This data can also be visualized, explored and more... -
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Procrastinate
PostgreSQL-based Task Queue for Python
Procrastinate is a powerful PostgreSQL-based task queue for Python, built to integrate seamlessly with Django and FastAPI. It allows you to schedule and execute background jobs using your existing database infrastructure, avoiding the need for additional queueing systems like Redis. Procrastinate is designed with simplicity, reliability, and observability in mind. -
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DbGate
Database manager for MySQL, PostgreSQL, SQL Server, MongoDB
...It's designed to be simple to use and effective when working with more databases simultaneously. But there are also many advanced features like schema compare, visual query designer, chart visualization or batch export and import. Mongo JavaScript editor, execute Mongo script (with NodeJs syntax). Redis tree view, generate script from keys, run Redis script. Runs as an application for Windows, Linux and Mac. Or in Docker container on the server and in a web browser on the client. Import, export from/to CSV, Excel, JSON, XML. ... -
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ArcticDB
ArcticDB is a high performance, serverless DataFrame database
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. -
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SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. ... -
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Enferno
Modern Flask framework optimized for AI-assisted development
Enferno is a framework for building developer-first cloud backends using PostgreSQL and TypeScript. It offers primitives for defining data models, APIs, and access rules directly in code, enabling quick iteration and deployment. Enferno is designed to accelerate SaaS and internal tool development by combining the benefits of traditional backends with developer ergonomics. -
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JabRef Bibliography Management
Graphical Java application for managing BibTeX and biblatex
JabRef is an open-source, cross-platform citation and reference management tool. Stay on top of your literature: JabRef helps you to collect and organize sources, find the paper you need and discover the latest research. JabRef is available free of charge and is actively developed. It supports you in every step of your research work. -
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Redash
Connect to any data source, easily visualize and share your data
Redash is an essential tool to help you make sense of your data. It allows everyone, regardless of level of technical know-how to harness the power of data. SQL users connect, query, visualize and share data easily and efficiently, allowing everyone in their organization to use the data. Redash combines the power and comfort of an SQL client with the collaborative benefits of a cloud-based service. It lets you create big, beautiful and easy to digest visualizations on dashboards for... -
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Datacap
DataCap is integrated software for data transformation
Datacap is an open-source data catalog and governance tool that helps organizations manage and document their data assets. It provides metadata management, lineage tracking, and collaboration features to ensure data transparency and quality. Datacap is designed for teams that need a lightweight, self-hosted solution to organize and govern their data ecosystems. -
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Entity relation diagrams generator
Entity Relation Diagrams generation tool
ERAlchemy generates Entity Relation (ER) diagram from databases or from SQLAlchemy models. The simplest way to install eralchemy on OSX is by using Homebrew. ERAlchemy requires GraphViz to generate the graphs and Python. Both are available for Windows, Mac and Linux. Thanks to it's modular architecture, it can be connected to other ORMs/ODMs/OGMs/O*Ms. Some tests require a local postgres database with a schema named test in a database named test all owned by a user named postgres with a password of postgres. ERAlchemy was inspired by erd, though it is able to render the ER diagram directly from the database and not just only from the ER markup language. -
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Django Postgres Extra
Bringing all of PostgreSQL's awesomeness to Django
django-postgres-extra is a Django extension that enhances PostgreSQL support by adding advanced features like native upserts, materialized view support, and better constraint handling. It improves developer productivity by exposing PostgreSQL-specific capabilities in a Django-friendly way while maintaining ORM consistency. -
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RAG API
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL
rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps. -
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Duplicati
Store securely encrypted backups in the cloud!
...Duplicati stores encrypted, incremental, compressed backups on cloud storage services and remote file servers using AES-256 encryption, keeping your data safe and always updated. It works with most storage services, including Google Cloud and Drive, Amazon S3, Microsoft Azure and OneDrive, Dropbox, FTPOpenStack Storage (Swift), SSH (SFTP), WebDAV, Tencent Cloud Object Storage (COS), and more! Duplicati also works on all major platforms (Windows, Linux and OSX). Unlike many other backup solutions, Duplicati ensures that your data is stored securely far away and updated regularly. ... -
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pgsync
Postgres to Elasticsearch/OpenSearch sync
pgsync is a lightweight tool for syncing Postgres databases across environments, such as from production to staging. It allows selective table syncing, data masking, and parallel copying for fast and safe data migration. pgsync is ideal for developers who need realistic test data without exposing sensitive information. -
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Motor
The async Python driver for MongoDB and Tornado or asyncio
...It provides a familiar API surface similar to the official synchronous PyMongo driver, so you can migrate or write MongoDB code in Python without having to learn a completely new interface. Because it integrates with popular async ecosystems like FastAPI, Sanic, and aiohttp, Motor is a natural fit for modern async Python stacks where throughput and responsiveness matter. It also supports change streams, grid file system (GridFS), and the full range of CRUD and aggregation operations available in MongoDB.
