Changelog

You can now export your models, metrics, and saved explorations to YAML files using Supersimple's CLI. Run supersimple export to try it out!

The import and validate commands have also been upgraded to support glob patterns and directories.

# Export models, metrics, and explorations:
supersimple export -o my-config/

# Export just the explorations:
supersimple export --explorations -o my-config/

# Import all explorations from a directory:
supersimple import explorations/

# Import using glob patterns:
supersimple import models/user-*.yaml

# See available flags:
supersimple export --help
supersimple import --help

This is particularly useful for managing large bulk changes, including refactoring your data model. You can export your current configuration, make changes in the YAML files, and then re-import everything to apply the updates. On your own, or by letting your coding agent use the CLI.

Read more in the CLI docs.

Variables can now be duplicated within the same exploration or copied across explorations.

Semantic layers are great, but it's impossible for them to cover everything. One of the most useful sources for additional context is your codebase itself!

That's why we're pumped to announce Supersimple's native GitHub agent for finding definitions and gotchas from code – things that the analytics agent needs to know about.

Supersimple's GitHub integration spawns powerful coding agents to roam around your repos and pull requests. Pick the repos you'd like to include when setting up the integration, and we'll take care of everything else.

Bringing the context of your codebase into BI is a huge unlock. We can't wait to hear what you think, and all the use cases this unlocks!

Supersimple's been in dark-mode-only from (almost) day one, and we know many of you love it that way.

We know some do prefer light mode for various reasons, though – and we want to give everyone a delightful experience. So – here you go!

Find the new "App appearance" toggle under your account settings.

Custom formulas now support percentile(field, percentile) for nearest-rank percentile calculations.

Example: percentile(prop("Duration (ms)"), 90) returns the p90 duration (meaning 90% of data points are at or below the p90 value).

Read more in the custom formulas reference.

For whenever you really need some custom SQL: schema-aware SQL autocomplete now makes that a smoother experience.

Suggestions include field names, schemas/datasets, and database functions and keywords.

AI can now reference and cite information from earlier messages in the conversation without re-searching. This makes responses faster and more context-aware.

Supersimple's AI can now choose to query data in addition to simply operating with model and exploration metadata.

This makes the agent significantly more capable of debugging data issues, cross-referencing things, and jumping back-and-forth between structured and unstructured data sources.

You have full control over which data models the AI may access. Currently available under Research mode for select accounts.

You can now pin your favorite explorations to the sidebar for quick access. Pinning is personal and doesn't affect other team members.

Model relations now support plain SQL syntax, providing more flexibility when defining relationships between data models. Learn more in our docs.

You can now move blocks between tabs by dragging and dropping them into the sidebar. Or the other way around.

The page now automatically scrolls when you drag a block's resize handle near the edge, making it easier to resize blocks that extend beyond the viewport.

Any block can now be exported as a PNG image, either by copying to clipboard or downloading directly.

Summarize filters now let you directly access fields behind hasOne relations, matching how how Filter and New Column steps already worked.

You can now rename exploration tabs by double-clicking on the tab button at the top of the page.

This is the biggest upgrade to Supersimple's AI agent since its inception in 2023 – a result of months of effort.

The agent is now significantly stronger at picking and choosing among enabled data sources, and iterating based on intermediary findings.

You can now drag and drop blocks between tabs using the table of contents for easier exploration organization.

Instead of messing with Slack webhooks, you can now directly select between Slack channels to send Alerts to.

Note: this requires you to install the Supersimple Slack bot under account settings.

Hovering over chart legend items now highlights the corresponding data in the chart, making it easier to understand what's what.

Explorations can now be organized into multiple tabs! Some of the use cases we've seen so far: One of our most anticipated releases ever: explorations can now be organized into multiple tabs. Some of the use cases we've seen so far:

• Sales report: tabs for overview + one for each customer segment
• Separate tab for Helper blocks
• A tab for WIP content

You can now set rollback points between steps to quickly disable all steps below a certain point. This helps understand complex sequences of steps, and to debug intermediary states.

Other improvements

Python blocks now use Jupyter-inspired standards for output display, including better matplotlib state management, mime-type rendering, and warnings when attempting to display multiple outputs. All this to say – they'll work smoother than ever.

When your cursor is in a text block, you'll now see an improved toolbar for text formatting floating at the top of the text block. That includes text style presets, as well as everything else you might need.

Of course, you can also still type markdown if you're into that!

You can now provide custom values in enum filters, allowing you to handle cases where enum options change over time or when working with dynamic enums that have too many values to display.

You can now expand the AI's progress to see its thought process, how it's splitting up its work, and the progress of each task.

Improvements

• BigQuery and Databricks customers can now use non-UTC time zones on their accounts, allowing all users to see auto-converted times that match their region

The List of aggregation now includes a 'Deduplicate' toggle to automatically remove duplicate values from the output field.

Every block now has a quick-access "Ask AI" button. For, you know, even quicker access to our AI when asking about a pre-existing chart or table.

You can now collapse values into one field using the List of aggregation, usable both under Summarize and New Column steps.

The resulting field visually collapses every one of these values into a tag box.

When AI provides multiple references for the same claim, these are now grouped together and shown in a popover with links to each.

You can now give charts exact hex color codes, in addition to picking presets or using the color picker.

Wherever you see references to other blocks (e.g. instances, combined blocks, funnel or retention chart inputs) you'll now find a new option to go to that "parent" or otherwise-linked block.

Other improvements

• When AI has only given you a single reply, you'll now see a single "Accept" option instead of separate "Accept" and "Accept last"