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Observable is a collaborative data visualization platform that lets users create, share, and explore data through interactive notebooks. These web-based documents mix code, data, and visualizations so people can see and manipulate data in real time. The primary users are data scientists, analysts, developers, and educators, with a strong emphasis on academic and teaching use through templates and examples. Observable uses a freemium model: basic features are free, while paid plans add security, more storage, and advanced collaboration tools for teams and businesses. The platform also fosters community support via forums and a Slack channel where users share work and feedback. Overall, Observable aims to help people learn from each other and work together to uncover insights from data.
Industries
Data & Analytics
Enterprise Software
Education
Company Size
11-50
Company Stage
Series B
Total Funding
$46.1M
Headquarters
San Francisco, California
Founded
2017
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Total Funding
$46.1M
Meets
Industry Average
Funded Over
2 Rounds
Industry standards
Remote Work Options
Flexible Work Hours
Draft and customize queries even faster with streamlined text-to-SQL. New AI integration in the SQL node helps you create, edit, and inspect changes to queries in one place. * allison horst developer marketing manager. In December Observable, Inc. announced big updates to the SQL node in Observable Canvases - its new collaborative whiteboard for flexible data exploration and visualization on an infinite canvas - that improve the SQL writing, editing, and troubleshooting experience. Now, Observable, Inc. is excited to share how Observable, Inc. has streamlined AI in the SQL node, making it even faster to draft and customize queries with text-to-SQL prompts. Read on to learn about its new AI integration within SQL nodes, directly editable SQL queries, and visual diffs that leave no doubt about what's changing as you iterate. A new AI toolbar right in the SQL node. Previously, users could write prompts in the AI toolbar at the bottom edge of their browser window to generate a new SQL query. This wasn't ideal: writing AI prompts outside of the SQL node created too much distance between the query and AI, leading to a fragmented experience spread across different places on the canvas. Now, Observable, Inc. has added an AI toolbar directly into the SQL node, which lives immediately below the query. This eliminates the physical and mental gap between your AI requests and what's generated by it, so you can more easily evaluate and update the output. Open the AI toolbar in a SQL node by clicking the icon in the top left of the side panel, or using the Cmd-k shortcut (Ctrl-k for Windows). Write and send your request, inspect the code, then run the query and see the resulting data - all in one place on the canvas, as shown below. Use AI to update existing SQL queries. Another limitation of its earlier AI for SQL experience in canvases was that AI could only create new queries in new SQL nodes - it could not edit existing queries. This resulted in unused and redundant SQL nodes cluttering the canvas. Plus, it hindered AI-assisted iteration because prompts always created a brand new query instead of making tweaks to an existing one. With its recent updates, you can now use AI to edit existing SQL queries. Below, a user makes two updates to an existing query, first changing to revenue aggregation from monthly to yearly totals, then excluding the Electronics & Media category: As you edit, you might also want to take a look back at previous requests. Hover over the truncated prompt text in the AI toolbar to explore your prompt history: AI suggestions highlighted by visual diffs. AI can be a powerful tool to accelerate data wrangling and analysis, but only if users have full confidence in the results. In canvases, Observable, Inc. is taking a human-centric approach to AI that produces verifiable, interpretable outputs allowing for scrutiny and correction. In line with that philosophy, Observable, Inc. want to ensure that when AI makes changes to existing SQL code, the changes are easy to find, inspect, and update. With its new visual diffs, there's never a question about what will be added to, or removed from, your SQL query. AI-suggested SQL updates are shown in green (for added code) or red (removed code), as shown below. A user can choose to accept or reject the AI suggestions before re-running the query. Advancing ai-powered data analysis in Observable Canvases. Here, Observable, Inc. has highlighted several recent updates that improve how analysts can use AI to supercharge their data wrangling and analysis in SQL nodes in Observable Canvases. With a new AI toolbar that operates directly in the SQL node, the ability to edit existing queries, and visual diffs that leave no doubt about how AI suggestions will change your code, Observable, Inc. now offer an even more streamlined and trustworthy text-to-SQL experience.
So today Observable, Inc. is launching Observable Cloud, its seamlessly integrated development and production platform for Framework apps.
Nationwide analysis, including census block group assessments of temperature amplification in 65 cities, identifies areas where residents face highest risks during extreme heat eventsPRINCETON, N.J., July 10, 2024 /PRNewswire/ -- More than 5 million people in New York City, Chicago, and San Francisco live in environments capable of amplifying summer temperatures by at least 10 degrees Fahrenheit, according to a Climate Central analysis of 65 U.S. cities. Called urban heat islands, these areas will increasingly expose residents to higher heat-related health risks as climate change raises local temperatures.Millions exposed to higher temperatures in 65 major U.S. cities, urban heat island research shows Post this More than 1 million Chicago residents live in areas where the built environment can increase temperatures by at least 9 degrees Fahrenheit.For 145,000 living in the most extreme urban heat islands, the local built environment can push temperatures even higher, by 12 degrees Fahrenheit or more. Climate Central's analysis of census block groups – typically fractions of neighborhoods including a handful of city blocks – identified areas within 19 cities where factors such as building and paving materials, population density, and lack of greenspace can make temperatures far hotter than in neighboring communities.Few city residents can avoid the influence of urban heat islands. Nearly 34 million – 68% of the population within the cities analyzed by Climate Central – live in environments capable of boosting temperatures by at least 8 degrees Fahrenheit
Observable, Inc. has launched an update to Observable Plot, including tree marks, tip marks, and plot.auto, a new feature that automatically chooses the best mark type based on your data.
Observable, the data collaboration company, today announced it has closed a $35.6 million Series B funding round led by Menlo Ventures. Existing inves
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Industries
Data & Analytics
Enterprise Software
Education
Company Size
11-50
Company Stage
Series B
Total Funding
$46.1M
Headquarters
San Francisco, California
Founded
2017
Find jobs on Simplify and start your career today