Data Storage
Datasette is a tool for exploring and publishing data. It helps people take data of any shape, analyze and explore it, and publish it as an interactive website and accompanying API.
Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with... See more
Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with... See more
Datasette
Who will this data model serve? These are the stakeholders and users of the data model.
Why does this data model need to be built? What is the purpose and objective of the data model?
What are the data model’s core entities, attributes, and relationships? This is where you learn to see the business through the lens of data.
When is the timeframe for... See more
Why does this data model need to be built? What is the purpose and objective of the data model?
What are the data model’s core entities, attributes, and relationships? This is where you learn to see the business through the lens of data.
When is the timeframe for... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Overview
pg_lakehouse is an extension that transforms Postgres into an analytical query engine over object stores like S3 and table formats like Delta Lake. Queries are pushed down to Apache DataFusion, which delivers excellent analytical performance. Combinations of the following object stores, table formats, and file formats are supported.
Object... See more
pg_lakehouse is an extension that transforms Postgres into an analytical query engine over object stores like S3 and table formats like Delta Lake. Queries are pushed down to Apache DataFusion, which delivers excellent analytical performance. Combinations of the following object stores, table formats, and file formats are supported.
Object... See more
https://github.com/paradedb/paradedb/tree/dev/pg_l...
memary: Open-Source Longterm Memory for Autonomous Agents
memary demo
Why use memary?
Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve... See more
memary demo
Why use memary?
Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve... See more
GitHub - kingjulio8238/memary: Longterm Memory for Autonomous Agents.
Data
Getting Started
Keyv is a simple key-value storage system that supports multiple backends. It's designed to be a simple and consistent way to work with key-value stores.
To learn how to use Keyv, check out the keyv README. To learn how to use a specific storage adapter, check out the README for that adapter under Storage Adapters.
Keyv is a simple key-value storage system that supports multiple backends. It's designed to be a simple and consistent way to work with key-value stores.
To learn how to use Keyv, check out the keyv README. To learn how to use a specific storage adapter, check out the README for that adapter under Storage Adapters.
jaredwray • GitHub - jaredwray/keyv: Simple key-value storage with support for multiple backends
SQLite Studio
Single binary, single command SQLite database explorer.
sqlite-studio <sqlite_db>
Features
More features available on the r... See more
Single binary, single command SQLite database explorer.
sqlite-studio <sqlite_db>
Features
- Overview page with common metadata.
- Tables page with each table's metadata, including the disk size being used by each table.
- Infinite scroll rows view.
- A custom query page that gives you more access to your db.
More features available on the r... See more
GitHub - frectonz/sqlite-studio: SQLite database explorer
WebDataset
WebDataset is a library for writing I/O pipelines for large datasets. Its sequential I/O and sharding features make it especially useful for streaming large-scale datasets to a DataLoader.
The WebDataset format
A WebDataset file is a TAR archive containing a series of data files. All successive data files with the same prefix are... See more
WebDataset is a library for writing I/O pipelines for large datasets. Its sequential I/O and sharding features make it especially useful for streaming large-scale datasets to a DataLoader.
The WebDataset format
A WebDataset file is a TAR archive containing a series of data files. All successive data files with the same prefix are... See more
WebDataset
PGlite - Postgres in WASM
PGlite is a WASM Postgres build packaged into a TypeScript client library that enables you to run Postgres in the browser, Node.js and Bun, with no need to install any other dependencies. It is only 3.7mb gzipped.
import { PGlite } from "@electric-sql/pglite"
const db = new PGlite()
await db.query("select 'Hello world' as... See more
PGlite is a WASM Postgres build packaged into a TypeScript client library that enables you to run Postgres in the browser, Node.js and Bun, with no need to install any other dependencies. It is only 3.7mb gzipped.
import { PGlite } from "@electric-sql/pglite"
const db = new PGlite()
await db.query("select 'Hello world' as... See more
electric-sql • GitHub - electric-sql/pglite: Lightweight Postgres packaged as WASM into a TypeScript library for the browser, Node.js, Bun and Deno
A serverless vector database
built from first principles on object storage: 10-100x cheaper, usage-based pricing, massive scalability
built from first principles on object storage: 10-100x cheaper, usage-based pricing, massive scalability