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langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Llangflow-aiabout 2 months ago
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
ToolJet is the open-source foundation of ToolJet AI - the AI-native platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
npm install -g @googleworkspace/cliDocs • Install • Quickstart • Tutorials • Reference
Rill delivers the fastest path from data lake to dashboard. For data engineers and analysts, it provides rapid, self-service dashboards built directly on raw data lakes, eliminating traditional BI complexity. For data consumers, it ensures reliable, fast-loading dashboards with accurate, real-time metrics.
Download Rill to start modeling data and create fast, exploratory dashboards in minutes:
curl https://rill.sh | sh
rill start my-rill-project
Unlike most BI tools, Rill comes with its own embedded in-memory database powered by DuckDB or ClickHouse. Data and compute are co-located, and queries return in milliseconds, so you can pivot, slice, and drill-down into your data instantly.
We also support bringing your own OLAP engine as a live connector with pushdown compute capabilities.
Rill implements BI-as-code through a combination of:
Rill's metrics layer provides a unified way to define, compute, and serve business metrics. Metrics views combine SQL models with YAML configuration to create standardized, reusable business metrics that can be consumed by dashboards, APIs, and AI systems.
Example Metrics View:
# metrics/revenue_metrics.yaml
name: revenue_metrics
description: Key revenue metrics by country and product
model: revenue_model
timeseries: date
dimensions:
- name: country
column: country
- name: product_category
column:product_category
measures:
- name: total_revenue
expression: sum(amount)
description: Total revenue amount
- name: order_count
expression: count(*)
description: Number of orders
- name: avg_order_value
expression: sum(amount) / count(*)
description: Average order value
We understand the critical importance of AI and data in modern business intelligence. Our metrics layer is designed to provide AI systems with the structured, real-time data they need to deliver quick and accurate responses. By co-locating data and compute with embedded databases like DuckDB and ClickHouse, Rill eliminates the latency that traditional BI tools introduce, ensuring AI agents can access fresh metrics instantly for precise decision-making and intelligent automation.
For visual learners, take a look at our various playlists that explains what Rill is and how to get the most out of it!
Getting Started with Rill Developer • Exploring Data with Rill • Data Talks on the Rocks
Bidstream data for programmatic advertisers to optimize pricing strategies, look for inventory opportunities, and improve campaign performance.
Based on Rill's own internal dashboards, cloud infrastructure data (compute, storage, pipeline statistics, etc.) merged with customer data to analyze bottlenecks and look for efficiencies.
Analyze GitHub activity to understand what parts of your codebase are most active, analyze contributor productivity, and evaluate the intersections between commits and files.
A conversion dataset used by marketers, mobile developers, or product teams to analyze funnel steps.
A compilation of projects with deep dives into Rill's features using ClickHouse's GitHub commit information.
Rill is developed and maintained by Rill Data, Inc..
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.