2023 Updates
All of the exciting updates so far in 2023
You can now search based on email address within the share modal. And results for searches are returned much faster.
Introducing the Noteable Pro Plan! Supercharge your workflow with increased computing power, longer running kernels, and exclusive learning resources. Access GPUs, and larger CPUs with extended kernel shutdown timeouts, and more. Learn more here.
My Active Sessions: Users now have easy access to a listing of all their currently active kernel sessions, with an ability to shut down any kernel session as needed.
- We added the option for new users to resend verification emails due to occasional delays in their delivery.
- We added the ability within the user settings page for users to delete their own accounts.
- We fixed an issue that prevented users with certain browser zoom settings from being able to scroll to the end of the create new data connection pop-up.
- Fixed an issue that prevented git-backed projects from being successfully created when the URL for the Git repo contained the
.gitextension (i.e.https://github.com/org/repo.git) - Improved the loading state within the share modal so it's clearer when the results of a search have been returned
Create Charts on CSVs!! Begin exploring your CSV file data immediately by clicking the
Visualize button and selecting from the 40+ different DEX visualization types. And any updates you make to a visualization within the CSV view are automatically carried over to the notebook when you click the Add to Notebook button. 
Interested in larger hardware options including GPUs? Sign up for the waitlist for our upcoming paid plan.
- Improved flow for verifying the email address associated with your Noteable account.
- Fixed the issue that previously prevented DEX outputs from appearing in exported PDF files
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MS SQL data connection! You can now configure a data connection and use SQL cells to query a MS SQL data connection
- Fixed an issue with the display of active users on the notebook
- Notebook export functionality to formats other than ipynb is broken if the notebook has DEX outputs. We are working on a fix and will provide an update shortly.
Clickhouse data connection! You can now configure a data connection and use SQL cells to query a Clickhouse data connection
Improved language support! You can now easily render visualizations and data with non-ascii characters:
- Updated the dependencies in the base Python image so that the
Graphvizvisualization package installs successfully. - Signing up with a new login type (user/pass, google, github, etc) will automatically link to an existing account that has the same email address within the Noteable system.
- Fixed a bug in the project page that prevented the successful download action from the
...menu from working correctly. - Schema Explorer listings are now sorted alphabetically by default.
- Notebook export functionality to formats other than ipynb is broken if the notebook has DEX outputs. We are working on a fix and will provide an update shortly.
Introducing the Noteable ChatGPT Plugin! Easily create and update Noteable notebooks with natural language prompts from ChatGPT. The Noteable ChatGPT plug-in empowers users of all skill levels to create computational notebooks. Learn more here.
Easier than ever to create DEX visualizations! Simply click the “+” button to add a new saved visualization and you’ll be provided with options to either select the Data Prism automatic chart visualization tool, or pick from the 40+ unique chart types Noteable supports:
- Markdown cells now support Github style markdown rendering
- Significant performance improvements when navigating around the app.
- Notebook export functionality to formats other than ipynb is broken if the notebook has DEX outputs. We are working on a fix and will provide an update shortly.
Git Pull and Sync! Users can now effortlessly pull remote changes and sync local files changes using a user-friendly UI-based flow, enabling seamless collaboration and version control.
Iframe Outputs! Users can now easily embed interactive outputs, visualizations, and more directly into their web pages or applications using iframe tags, enhancing the sharing and presentation of their work.
- Grid usability improvements. Column headers within DEX have been improved to make it easier to discover how to create filters, sort the columns, change data types and more.
- Automatically Fetch Data Connection Schema. Newly added data connections will automatically fetch the schema information when a user first attempts to explore the schema.
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Introducing Schema Browser! Users can now easily browse their database schemas, tables, and columns directly within the notebook sidebar. With this feature, users can quickly and efficiently navigate their data connections, visualize their structure, and gain a comprehensive understanding of their data.
Scaling Your Visualization: Dask, Vaex, Polars, & Modin! If you want to work with large datasets in pandas and don't want to compromise on performance, DEX now supports Dask, Vaex, Polars, and Modin. These frameworks offer different and efficient ways to scale pandas, making your data science workflows more effective and productive.
- Cell runtime is now displayed in a user-friendly fashion:
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- Introducing Data Prism! Data Prism within DEX generates automatic views into your data based on the shape of your data. It's easy to use, just load a dataframe (from pandas or SQL) and open your controls. View this notebook for more information about Data Prism
- New chart type: Column Line Charts! Column line charts are useful when your time series data is in column format instead of row format or you just want to get away from dot plots and bar charts and show columns as lines. When contained to two columns, there are known as slope graphs.
- Retrieve your filtered and transformed DEX data in Python! Easily generate a new python code cell that contains all of the applied filters and transformations from your DEX grid.
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- Introducing Form Cells! Form cells are an experimental feature that allow users to get inputs into their notebooks via the use of user-friendly prompts and then access those values as python variables later within the notebook. Noteable's form cells support text input, slider, datetime picker, checkbox and dropdown types. View this notebook for more information about Form Cells.
- Customize Colors within DEX! DEX now supports customizing the individual colors used within visualizations. Choose from a variety of color pallets or pick your own custom color.
- Code cells that generate an error will now show a collapsible stacktrace
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- Identify local changes in your Git project! The notebook’s project file will automatically update to show the current status of local file changes within Git projects. In addition users can click the “refresh git status” at any point to refresh the git status, which is helpful after running any cell-level git actions which may not automatically be reflected in the sidebar.
- Data tables now support Infinite Scroll! Noteable’s data wrangler grid now supports infinite scrolling, so users viewing CSV files or tables within notebooks can now easily scroll to view all of their data.
- Explore Your Variables! A new variable explorer sidebar will be shown for all notebooks detailing the list of currently in-memory variables, as well as details about their variable type and limited information about their values.
- All-new color palettes for charts. In the DEX conditional formatting options, you can now choose from a list of categorical color palettes picked especially for data visualization.
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- Clone a project from GitLab! Users can now create a Noteable project based on a clone of a GitLab repository, and utilize all of the Git workflow tools within Noteable.
- More Data Connection Options: Users can now configure a data connection and use SQL cells to query MariaDB or SingleStore databases:
- Users can now publish notebooks at the Public visibility or at the “Inherited” visibility level for private notebooks, allowing authors to control who can have access to their published notebooks
- Users can now comment on published notebooks and leave comments for the author and other users to see.
- Improved UX and functionality with parallel coordinates including better tooltips & dimension filtering
- Better dimension matrix styling of labels and support for date dimensions
- Graduated Symbol legend in Scatterplot when points are sized by a metric
- Extended options for labeling bar chart columns to allow you to use the label strategy that suits your data
- Radar plots now support metric representation so you can plot different metrics and not just a single metric across dimensions
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- MySQL Data Connector: Users can now easily set up data connections to MySQL and subsequently use SQL cells within a notebook to query data in their MySQL instance.
- Cell level Git Commands: Projects cloned from a GitHub repository can now use cell level Git commands to perform actions like push and pull from the remote repository. Please see the Git documentation for the full list of commands supported.
- Publicly share your CSV file: Users can now publicly share their CSV files with the advanced data wrangling grid to any users, including those who don’t yet have Noteable accounts.
- DEX chart controls and settings have moved to the right side of the page and can all be accessed via thebutton:
- Datasets have been moved to the Data sidebaralongside data connections:
- Scheduled notebooks can now specify which timezone to be executed in.
- Users can now bookmark dashboards within a notebook:
- Conditional formatting works within Tile Map visualizations:
- Line chart visualizations support Stepped & Curved Options:
- Scatterplot Matrix (SPLOM) visualizations have an updated look and feel:
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- Get started exploring your data without ever touching a line of code! Simply upload a CSV file and immediately explore your data using DEX’s powerful data wrangler grid. Later you can add that CSV to a notebook, and all of the filters you created will automatically be preserved.
- Clone a project from GitHub! Access all files and data from a public or private GitHub project by quickly cloning it into Noteable. Very soon we’ll be adding support for committing and pushing changes you make in Noteable back to the original GitHub repository. Read more in our documentation.
- Publishing Notebooks is now easier than ever! Simply click the publish button on the notebook page to automatically version and publish your current notebook. When you make changes to the original notebook, an update button will display to allow you to publish updates whenever
- Introducing Noteable’s Python SDK Origami! Manage kernel interactions and monitor real-time events for your Noteable Notebooks from Python. The Python SDK provides a clean async interface for connecting with the Noteable platform. Learn more in the documentation.
- [Experimental Feature] Create DEX visualizations using Python! We’re launching a new experimental feature that allows users to create DEX visualizations using Python code. Initially, only limited chart types will be available such as the Basic Chart types and DEX dashboards, but we will be adding support for more chart types over time. Learn more about charting in DEX with Python in the documentation, and please let us know if there are any specific chart types you’d like to see supported and what additional features you’d like to see.
- Build your own custom kernel image! Users can now build their custom kernel image for a given project by uploading a requirements.txt or environments.yml file into their project. A kernel build will be automatically kicked off upon first upload or any subsequent edit and saves of that file and the user will receive an email when the new image is ready to use. Read more about custom kernel images here.
- Select and order your fields in Parallel Coordinates to allow you to ignore fields that aren’t important and re-order them to make more sense of your data
- Sort Diverging Bar Chart columns by column name or value
- SQL Cell’s introspection for
\describe <table_name>will display the table’s foreign keys and check constraints.
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- Connect to Amazon Athena! Users can now easily set up data connections to Amazon Athena and subsequently use SQL cells within a notebook to query data in their Athena instance.
- SQL Cells support write-back: Noteable SQL cells can be used to create tables, insert or update rows, or any other SQL data modifications, as long as the underlying database permissions allow. View an example notebook to see this in action.
- Hardware options change for free tier: Small hardware usage on
app.noteable.iowill always be unlimited. To access higher CPUs, GPUs, or define custom options for your team please reach out to our team at [email protected] to discuss our enterprise support.
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Last modified 1mo ago