Загрузка видео...

Не удалось загрузить видео

На главную

sqlit is a lazygit style SQL TUI for the terminal. It supports 10+ databases (Postgres, SQLite, Supabase, ClickHouse, DuckDB, etc), has query history, autocomplete and more. Peter Adams (Maxteabag on GitHub) made sqlit using textualize.io and is Terminal Tool of the Week! ⭐️

terminaltrove's profile picture

Terminal Trove

5,156 subscribers

137,289 просмотров • 5 месяцев назад •via X (Twitter)

ИгрыНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

nless is a TUI tool that is like Excel for live log data. It takes in logs, CSV or JSON and transforms them into columns in the terminal. You can then filter, sort, search, stream live data and more. Matt Pryor (mpryor on GitHub) made nless using textualize.io and is Terminal Tool of the Week! ⭐️
0:40

nless is a TUI tool that is like Excel for live log data. It takes in logs, CSV or JSON and transforms them into columns in the terminal. You can then filter, sort, search, stream live data and more. Matt Pryor (mpryor on GitHub) made nless using textualize.io and is Terminal Tool of the Week! ⭐️

Terminal Trove

31,698 просмотров • 1 месяц назад

taproom is a TUI tool for managing Homebrew packages. It lets you browse, search, install, remove & view brew dependencies in a terminal table and more. Johnny Huang (hzqtc on GitHub) made taproom using Charm & is Terminal Tool of the Week! ⭐️
0:55

taproom is a TUI tool for managing Homebrew packages. It lets you browse, search, install, remove & view brew dependencies in a terminal table and more. Johnny Huang (hzqtc on GitHub) made taproom using Charm & is Terminal Tool of the Week! ⭐️

Terminal Trove

46,546 просмотров • 10 месяцев назад

wrkflw is a CLI and TUI tool for testing and running CI jobs locally. You can validate GitHub / GitLab CI workflows, run jobs, watch logs, manage secrets, use Docker, Podman runtimes and more. Gokul made wrkflw using Ratatui and is Terminal Tool of the Week! ⭐️
1:00

wrkflw is a CLI and TUI tool for testing and running CI jobs locally. You can validate GitHub / GitLab CI workflows, run jobs, watch logs, manage secrets, use Docker, Podman runtimes and more. Gokul made wrkflw using Ratatui and is Terminal Tool of the Week! ⭐️

Terminal Trove

16,374 просмотров • 20 дней назад

netwatch is an all in one network diagnostics tool that monitors connections in real time. It has a live traffic timeline, ASCII network map, latency heat-maps and more. Matt Hartley (matthart1983 on GitHub) made netwatch using Ratatui and is Terminal Tool of the Week! ⭐️
0:26

netwatch is an all in one network diagnostics tool that monitors connections in real time. It has a live traffic timeline, ASCII network map, latency heat-maps and more. Matt Hartley (matthart1983 on GitHub) made netwatch using Ratatui and is Terminal Tool of the Week! ⭐️

Terminal Trove

112,424 просмотров • 1 месяц назад

Excited to announce the new era of terminal apps! 🎉 🐀 ratSCAD — CAD for the terminal! 🧀 Terminal IDE for OpenSCAD with live 3D previews. 🦀 Made possible by Ratty terminal: ⭐ GitHub: #rustlang #ratatui #tui #3d #openscad #terminal
0:20

Excited to announce the new era of terminal apps! 🎉 🐀 ratSCAD — CAD for the terminal! 🧀 Terminal IDE for OpenSCAD with live 3D previews. 🦀 Made possible by Ratty terminal: ⭐ GitHub: #rustlang #ratatui #tui #3d #openscad #terminal

Orhun Parmaksız 👾

17,790 просмотров • 21 дней назад

Let Postgres own the Iceberg catalog and delegate analytics to DuckDB. The result => transactional lakehouse updates with fast analytical queries. This isn’t a concept. It’s exactly what pg_lake delivers today. pg_lake combines a set of extensions and components that let you query and modify Iceberg tables (and other lakehouse formats) directly from Postgres. DuckDB is used to accelerate analytical queries and runs in a sidecar process called pgduck_server, which communicates with Postgres during query execution. How it works (diagram below): 1. An application sends a query to Postgres to calculate unrealized PnL (Profit and Loss) for the Disney ticker. 2. Postgres parses the query and identifies the part that computes the average price from historical lakehouse data. 3. That part is forwarded to pgduck_server for accelerated execution. 4. pgduck_server delegates execution to DuckDB, which queries the lakehouse (reusing cached data if available). 5. DuckDB computes the average price and returns it to Postgres. 6. Postgres joins the result with local portfolio data and computes the unrealized PnL. 7. The final result is returned to the application.
0:24

Let Postgres own the Iceberg catalog and delegate analytics to DuckDB. The result => transactional lakehouse updates with fast analytical queries. This isn’t a concept. It’s exactly what pg_lake delivers today. pg_lake combines a set of extensions and components that let you query and modify Iceberg tables (and other lakehouse formats) directly from Postgres. DuckDB is used to accelerate analytical queries and runs in a sidecar process called pgduck_server, which communicates with Postgres during query execution. How it works (diagram below): 1. An application sends a query to Postgres to calculate unrealized PnL (Profit and Loss) for the Disney ticker. 2. Postgres parses the query and identifies the part that computes the average price from historical lakehouse data. 3. That part is forwarded to pgduck_server for accelerated execution. 4. pgduck_server delegates execution to DuckDB, which queries the lakehouse (reusing cached data if available). 5. DuckDB computes the average price and returns it to Postgres. 6. Postgres joins the result with local portfolio data and computes the unrealized PnL. 7. The final result is returned to the application.

Denis Magda

28,461 просмотров • 4 месяцев назад

All types of databases, Redis, Postgres, Clickhouse, Mysql etc. now display important stats and metrics aswell as most run queries in the Maple service map
0:22

All types of databases, Redis, Postgres, Clickhouse, Mysql etc. now display important stats and metrics aswell as most run queries in the Maple service map

Makisuo

240,730 просмотров • 4 дней назад

Wanna quickly edit files in the terminal? Say less 🤝 🌀 lazyide — A lightweight TUI IDE inspired by lazygit 💯 View, edit, navigate & copy/paste instantly. 🎨 Supports file tree, tabbed editor, LSP & themes! 🦀 Written in Rust & built with Ratatui ⭐ GitHub: #rustlang #ratatui #tui #ide #editor #terminal #lsp #devtools
0:23

Wanna quickly edit files in the terminal? Say less 🤝 🌀 lazyide — A lightweight TUI IDE inspired by lazygit 💯 View, edit, navigate & copy/paste instantly. 🎨 Supports file tree, tabbed editor, LSP & themes! 🦀 Written in Rust & built with Ratatui ⭐ GitHub: #rustlang #ratatui #tui #ide #editor #terminal #lsp #devtools

Orhun Parmaksız 👾

11,231 просмотров • 3 месяцев назад

Google open-sourced MCP Toolbox for Databases. I gave it access to everything else. For context, Google's MCP Toolbox for Databases is an open-source server that lets AI agents securely query structured databases like PostgreSQL and MySQL through the MCP protocol However, most enterprise knowledge doesn't actually live in databases. It's scattered across emails, Slack threads, GitHub repos, Salesforce records, customer reviews, and internal docs. So Agents can't see any of it, which means they're working with a fraction of the context they need. I fixed that using MindsDB. It acts as a universal SQL layer that sits on top of all your data sources: structured, semi-structured, and unstructured. This means you can query Salesforce, Gmail, GitHub, S3 files, Jira, and 200+ more sources using SQL syntax. The clever part is how it connects to the MCP Toolbox. MindsDB exposes everything through MySQL, so from the Agent's perspective, it's just running SQL and getting context back. It doesn't know or care that the data came from five different sources behind the scenes. This setup unlocks some powerful capabilities: → One SQL interface for dozens of enterprise sources → Cross-datasource joins (combine GitHub and CRM data in a single query) → Built-in ML capabilities for working with unstructured data → Simple MCP tools that now have massively expanded reach In the video below, the Agent queries GitHub data and a customer review database in one SQL query. So what used to require ETL pipelines and weeks of engineering effort now happens instantly. At the end of the day, AI agents are only as useful as the data they can access. This gives them a lot more to work with. I have shared the GitHub repo in the replies, where you can find more details about this.
0:22

Google open-sourced MCP Toolbox for Databases. I gave it access to everything else. For context, Google's MCP Toolbox for Databases is an open-source server that lets AI agents securely query structured databases like PostgreSQL and MySQL through the MCP protocol However, most enterprise knowledge doesn't actually live in databases. It's scattered across emails, Slack threads, GitHub repos, Salesforce records, customer reviews, and internal docs. So Agents can't see any of it, which means they're working with a fraction of the context they need. I fixed that using MindsDB. It acts as a universal SQL layer that sits on top of all your data sources: structured, semi-structured, and unstructured. This means you can query Salesforce, Gmail, GitHub, S3 files, Jira, and 200+ more sources using SQL syntax. The clever part is how it connects to the MCP Toolbox. MindsDB exposes everything through MySQL, so from the Agent's perspective, it's just running SQL and getting context back. It doesn't know or care that the data came from five different sources behind the scenes. This setup unlocks some powerful capabilities: → One SQL interface for dozens of enterprise sources → Cross-datasource joins (combine GitHub and CRM data in a single query) → Built-in ML capabilities for working with unstructured data → Simple MCP tools that now have massively expanded reach In the video below, the Agent queries GitHub data and a customer review database in one SQL query. So what used to require ETL pipelines and weeks of engineering effort now happens instantly. At the end of the day, AI agents are only as useful as the data they can access. This gives them a lot more to work with. I have shared the GitHub repo in the replies, where you can find more details about this.

Akshay 🚀

39,331 просмотров • 3 месяцев назад

⚡️ Open SQLite Databases in React Native Debugging SQLite was always challenging until I found out about this library: Drizzle Studio for Expo SQLite 🎉 This is a dev tool plugin you can easily install in your app and open by pressing shift + m in your terminal. The result is the easiest way to see and edit your SQLite data right inside your browser 😍 Did you know about this plugin??
1:59

⚡️ Open SQLite Databases in React Native Debugging SQLite was always challenging until I found out about this library: Drizzle Studio for Expo SQLite 🎉 This is a dev tool plugin you can easily install in your app and open by pressing shift + m in your terminal. The result is the easiest way to see and edit your SQLite data right inside your browser 😍 Did you know about this plugin??

Simon Grimm

16,351 просмотров • 1 год назад

We're excited to announce duckdb-skills, a DuckDB plugin for Claude Code! We think the embedded nature of DuckDB makes it a perfect companion for Claude in your local workflows. The skills supported include: + read-file and query – uses DuckDB's CLI to query data locally, unlocking easy access to any file that DuckDB can read. + read-memories – a clever idea to store your Claude memories in DuckDB and query them at blazing speed. These are powered by two additional skills: + attach-db – gives Claude a mechanism to manage DuckDB state through a .sql file linked to your project. + duckdb-docs – uses a remote DuckDB full-text search database to query the DuckDB docs and answer all of your (and Claude's own) questions.
2:16

We're excited to announce duckdb-skills, a DuckDB plugin for Claude Code! We think the embedded nature of DuckDB makes it a perfect companion for Claude in your local workflows. The skills supported include: + read-file and query – uses DuckDB's CLI to query data locally, unlocking easy access to any file that DuckDB can read. + read-memories – a clever idea to store your Claude memories in DuckDB and query them at blazing speed. These are powered by two additional skills: + attach-db – gives Claude a mechanism to manage DuckDB state through a .sql file linked to your project. + duckdb-docs – uses a remote DuckDB full-text search database to query the DuckDB docs and answer all of your (and Claude's own) questions.

DuckDB

60,527 просмотров • 2 месяцев назад

v0 now supports MCPs for Stripe, Supabase, Neon, and Upstash. Query databases, seed data, and ask about revenue, all with natural language and zero setup.
0:39

v0 now supports MCPs for Stripe, Supabase, Neon, and Upstash. Query databases, seed data, and ask about revenue, all with natural language and zero setup.

v0

38,067 просмотров • 6 месяцев назад

Finally we have notebooks in the terminal! 🔥 📓 newt — A cross-language notebook for the terminal 💯 Run Rust, Go, C++, Python & JavaScript cells in a TUI 🚀 Also supports a GUI backed by WASM or locally 🦀 Written in Rust & built with Ratatui ⭐ GitHub: #rustlang #ratatui #tui #terminal #notebooks #devtools #opensource
0:38

Finally we have notebooks in the terminal! 🔥 📓 newt — A cross-language notebook for the terminal 💯 Run Rust, Go, C++, Python & JavaScript cells in a TUI 🚀 Also supports a GUI backed by WASM or locally 🦀 Written in Rust & built with Ratatui ⭐ GitHub: #rustlang #ratatui #tui #terminal #notebooks #devtools #opensource

Orhun Parmaksız 👾

14,685 просмотров • 5 месяцев назад

This might be the TUI of the year ⭐ 🎬 gitlogue — A cinematic Git commit replay tool for the terminal. ⚡ Watch commits unfold with typing animations, syntax highlighting and a live-updating file tree. 🤯 Watch your repo code itself. 🦀 Written in Rust & built with Ratatui ⭐ GitHub: #rustlang #ratatui #tui #git #commits #replay #terminal #screensaver
2:40

This might be the TUI of the year ⭐ 🎬 gitlogue — A cinematic Git commit replay tool for the terminal. ⚡ Watch commits unfold with typing animations, syntax highlighting and a live-updating file tree. 🤯 Watch your repo code itself. 🦀 Written in Rust & built with Ratatui ⭐ GitHub: #rustlang #ratatui #tui #git #commits #replay #terminal #screensaver

Orhun Parmaksız 👾

32,130 просмотров • 6 месяцев назад

Use Neon and ClickHouse to get the best of both worlds: the flexibility of Postgres for transactions + the performance of ClickHouse for analytics With PeerDB, data streaming is simple 👇
1:43

Use Neon and ClickHouse to get the best of both worlds: the flexibility of Postgres for transactions + the performance of ClickHouse for analytics With PeerDB, data streaming is simple 👇

Neon Postgres

11,422 просмотров • 1 год назад

The massive construction going on at the MMIA is one of Nigerias most audacious project in its history! Even the temporary terminal is alot more beautiful than the old terminal we had.. Watch and send some prayers for PBAT
8:07

The massive construction going on at the MMIA is one of Nigerias most audacious project in its history! Even the temporary terminal is alot more beautiful than the old terminal we had.. Watch and send some prayers for PBAT

Comrade Àmọdá 🦇

78,864 просмотров • 12 дней назад

HUGE news for developers. Supabase just launched the ChatGPT of databases. An AI-based Postgres service. You can build and launch databases, create charts, embeddings, see visuals of your DB, generate sample data, and more. And.. it's 100% open source.
1:04

HUGE news for developers. Supabase just launched the ChatGPT of databases. An AI-based Postgres service. You can build and launch databases, create charts, embeddings, see visuals of your DB, generate sample data, and more. And.. it's 100% open source.

Lior Alexander

141,118 просмотров • 1 год назад

using tools, Cursor Agent have the capability to reason about when it should - read & write code - search your codebase - call MCP servers - run terminal commands an example where it connects to a postgres database, runs a query and writes to file
0:25

using tools, Cursor Agent have the capability to reason about when it should - read & write code - search your codebase - call MCP servers - run terminal commands an example where it connects to a postgres database, runs a query and writes to file

eric zakariasson

34,917 просмотров • 1 год назад

The terminal documentary
11:01

The terminal documentary

Supabase

41,186 просмотров • 1 год назад

I wrote a full terminal emulator in PHP! And I wrote a testing tool that takes screenshots of the terminal to verify that my emulator is working!
6:28

I wrote a full terminal emulator in PHP! And I wrote a testing tool that takes screenshots of the terminal to verify that my emulator is working!

Aaron Francis

27,377 просмотров • 1 год назад