breck7/ohayo

title Ohayo

* Ohayo is a fast and free tool for data science. Ohayo consists of a very high level programming language and a visual web studio for that language. The goal of Ohayo is to enable people to do data science at the speed of voice. You can see a short clip of Ohayo in action here.
 https://youtube.com/watch?v=qqyGHmUlKoc here

* You can try ohayo at https://ohayo.computer, download Ohayo on GitHub, try Ohayo hosted on GitHub, or install it using `npm install ohayo`.
 https://ohayo.computer https://ohayo.computer
 https://github.com/breck7/ohayo GitHub
 https://github.ohayo.computer GitHub

image slides.gif

# Key Concepts

## OhayoLang

* Ohayo the language is a Tree Language, built using TreeNotation. Ohayo is a dataflow language.
 https://github.com/breck7/ohayo/tree/main/ohayo language
 https://treenotation.org/ TreeNotation

## Scripts

* OhayoLang is a scripting language like any other and you can write programs in it by hand or using the Ohayo Studio. OhayoLang scripts generally have the file extension `.ohayo`.

## Tiles

* An Ohayo program is composed of Tiles. Tiles can display UI to the user. Tiles are recursive and can be the parent of other tiles. Tiles are namespaced and all must contain at least one `.`.

## Tile Properties

* Tiles can define and use their own Properties. The names of Tile Properties cannot contain a `.`.

## DataTables

* All Tiles can access the tables of their ancestor tiles and also pass on a new table to their descendants. The data tables currently use the jTable library.
 https://github.com/breck7/jtree/tree/main/jtable jTable

## Common Tile Types

* All Tiles extend from a base class. The three most common core Tile Types are Provider, Transformer, and Chart. In data science you have 3 main kinds of things: datasets, data transformations, and visualizations. Datasets include everything from weather forecasts to emails to business transactions. There are millions of possible datasets. In Ohayo tiles that provide datasets generally extend the Provider base tile type. Transformations are things like filtering, grouping, and joining. In Ohayo tiles that transform data generally extend the Transformer tile type. Charts include bar charts, line charts, scatterplots and word clouds. In Ohayo charts generally extend the Chart base tile type.

## Creating Tiles

* If you need a new tile—to add a new user friendly data source or visualization type, for example—you can implement it using TypeScript/Javascript/Grammar language. See the packages folder for examples. Documentation for this will come out later in 2020.
 https://github.com/breck7/ohayo/tree/main/ohayo/packages packages

# BETA!

* Ohayo is still beta and iterating frequently. Post feedback here or on the TreeNotation subreddit. Ohayo hopefully will be stable by July 2023.
 https://www.reddit.com/r/treenotation/ subreddit

# Marketing Jumbo

* If you are looking for some marketing-speak, here you go:

orderedList
 1. The simplest syntax possible. No parentheses, no brackets, no semicolons. Just words you can speak.
 2. Write by hand or program visually. The first visual editor that generates perfectly clean code.
 3. Autocomplete like you've never seen before. AI powered autocomplete that keeps getting better.
 4. Free and open source. The price is $0, and extensions and collaboration are welcome.
 5. No installing required. Run Ohayo instantly in your browser, even on your mobile device.
 6. No tracking, no cookies. Ohayo doesn't track users, use cookies, or store your data.
 7. Secure by design. Your data stays on your machines, we never see it.
 8. Runs anywhere. Run it from our sites, host it yourself, or run it on your local machine.

# Other Tools For Data Scientists

* Ohayo is just one of my tools that are trying to make data science easier. Here's a list of related products:

pipeTable
 Name|NameLink|Year|Wikipedia|WikipediaLink
 Rows.com|https://rows.com/|2020||
 Explo.co|https://explo.co/|2020||
 Arquero|https://github.com/uwdata/arquero|2020||
 Basedash|https://www.basedash.com/|2019||
 Grid Studio|https://github.com/ricklamers/gridstudio|2019||
 Workbench|https://workbenchdata.com/|2018||
 ActionDesk|https://www.actiondesk.io/|2018||
 Data Illustrator|https://data-illustrator.com/|2018||
 Observable|https://observablehq.com/|2017||
 Idyll|https://idyll-lang.org/|2017||
 VisiData|https://www.visidata.org/|2017||
 Google Data Studio|https://datastudio.google.com/overview|2016|W|https://de.wikipedia.org/wiki/Google_Data_Studio
 Flourish|https://flourish.studio/|2016||
 Tidyverse|https://www.tidyverse.org/|2016|W|https://en.wikipedia.org/wiki/Tidyverse
 Vega Editor|https://vega.github.io/editor/|2015||
 Amazon QuickSight|https://aws.amazon.com/quicksight/|2015||
 GapMinder Vizabi|https://vizabi.org/|2015||
 Toucan|https://toucantoco.com/en/|2015||
 xsv|https://github.com/BurntSushi/xsv|2014||
 metabase|https://www.metabase.com/|2014||
 dplyr|https://dplyr.tidyverse.org/|2014||
 JupyterLab|https://github.com/jupyterlab/jupyterlab|2014|W|https://en.wikipedia.org/wiki/Project_Jupyter
 OmniSci|https://www.omnisci.com/|2013|W|https://en.wikipedia.org/wiki/OmniSci
 xlwings|https://www.xlwings.org/|2013||
 redash|https://redash.io/|2013||
 RAWGraphs|https://github.com/rawgraphs/raw|2013||
 DataBricks|https://databricks.com/|2013|W|https://en.wikipedia.org/wiki/Databricks
 Quadrigram|https://www.quadrigram.com/|2012||
 Snowflake|https://www.snowflake.com/|2012|W|https://en.wikipedia.org/wiki/Snowflake_Inc.
 Julia|https://julialang.org/|2012|W|https://en.wikipedia.org/wiki/Julia_(programming_language)
 Looker|https://looker.com/|2012|W|https://en.wikipedia.org/wiki/Looker_(company)
 AirTable|https://airtable.com/|2012|W|https://en.wikipedia.org/wiki/Airtable
 Anaconda|https://www.anaconda.com/|2012|W|https://en.wikipedia.org/wiki/Anaconda_(Python_distribution)
 Plotly|https://plot.ly/|2012|W|https://en.wikipedia.org/wiki/Plotly
 DataWrapper|https://www.datawrapper.de/|2012||
 ThoughtSpot|https://www.thoughtspot.com/|2012|W|https://en.wikipedia.org/wiki/ThoughtSpot
 Infogram|https://infogram.com/|2012|W|https://en.wikipedia.org/wiki/Infogram
 RStudio|https://www.rstudio.com/|2011|W|https://en.wikipedia.org/wiki/RStudio
 Microsoft SandDance|https://github.com/microsoft/SandDance|2011|W|https://en.wikipedia.org/wiki/Microsoft_Garage
 Microsoft PowerBI|https://powerbi.microsoft.com/en-us/|2011|W|https://en.wikipedia.org/wiki/Power_BI
 d3|https://d3js.org/|2011|W|https://en.wikipedia.org/wiki/D3.js
 piktochart|https://piktochart.com/|2011|W|https://en.wikipedia.org/wiki/Piktochart
 Google Kaggle|https://www.kaggle.com/|2010|W|https://en.wikipedia.org/wiki/Kaggle
 ChartIO|https://chartio.com/|2010||
 Google BigQuery|https://cloud.google.com/bigquery/|2010|W|https://en.wikipedia.org/wiki/BigQuery
 OpenRefine|https://github.com/OpenRefine/OpenRefine|2010|W|https://en.wikipedia.org/wiki/OpenRefine
 Zoho Analytics|https://www.zoho.com/analytics/|2009||
 Wolfram Alpha|https://www.wolframalpha.com/|2009|W|https://en.wikipedia.org/wiki/Wolfram_Alpha
 HighCharts|https://www.highcharts.com/|2009|W|https://en.wikipedia.org/wiki/Highcharts
 LucidChart|https://www.lucidchart.com/|2008|W|https://en.wikipedia.org/wiki/Lucidchart
 Pandas|https://pandas.pydata.org/|2008|W|https://en.wikipedia.org/wiki/Pandas_(software
 Apple Numbers|https://www.apple.com/numbers/|2007|W|https://en.wikipedia.org/wiki/Numbers_(spreadsheet)
 scikit-learn|https://scikit-learn.org/stable/|2007|W|https://en.wikipedia.org/wiki/Scikit-learn
 Smartsheet|https://www.smartsheet.com/|2006|W|https://en.wikipedia.org/wiki/Smartsheet
 Google Sheets|https://www.google.com/sheets/about/|2006|W|https://en.wikipedia.org/wiki/Google_Sheets
 Alteryx|https://www.alteryx.com/|2006|W|https://en.wikipedia.org/wiki/Alteryx
 RapidMiner|https://rapidminer.com/|2006|W|https://en.wikipedia.org/wiki/RapidMiner
 Sisense|https://www.sisense.com/|2004|W|https://en.wikipedia.org/wiki/Sisense
 KNIME|https://www.knime.com/|2004||
 Matplotlib|https://matplotlib.org/|2003|W|https://en.wikipedia.org/wiki/Matplotlib
 Tableau|https://www.tableau.com/|2003|W|https://en.wikipedia.org/wiki/Tableau_Software
 Visual-Paradigm Chart Maker|https://online.visual-paradigm.com/features/chart-maker/pyramid-chart-maker/|2002|W|https://en.wikipedia.org/wiki/Visual_Paradigm
 NumPy|https://www.numpy.org/|1995|W|https://en.wikipedia.org/wiki/NumPy
 Qlik|https://www.qlik.com/|1993|W|https://en.wikipedia.org/wiki/Qlik
 JMP|https://www.jmp.com/|1989|W|https://en.wikipedia.org/wiki/JMP_(statistical_software)
 Mathematica|https://www.wolfram.com/mathematica/|1988|W|https://en.wikipedia.org/wiki/Wolfram_Mathematica
 Microsoft Excel|https://products.office.com/en-us/excel|1987|W|https://en.wikipedia.org/wiki/Microsoft_Excel
 MATLAB|https://mathworks.com/products/matlab|1984|W|https://en.wikipedia.org/wiki/MATLAB
 SAS|https://www.sas.com/|1976|W|https://en.wikipedia.org/wiki/SAS_language
 SPSS|https://www.ibm.com/us-en/marketplace/spss-statistics|1968|W|https://en.wikipedia.org/wiki/SPSS

# How to Give Feedback

* Open an issue here, the Tree Notation subreddit or email [email protected].
 https://www.reddit.com/r/treenotation/ subreddit

# ❤️ Public Domain ❤️

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