Rows VS Dask
Compare Rows VS Dask and see what are their differences
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Rows
Airtable
NocoDB
Baserow
Grist
Datablist
Google Sheets
150 ChatGPT 4.0 prompts for SEO
Dask
Pandas
NumPy
PySpark
Apache Airflow
Apache Spark
SciPy
Anaconda
Slick design. Built-in integrations. Revolutionary sharing. Rows reinvented spreadsheets so teams do more, crazy fast.
RowsBased on our record, Rows should be more popular than Dask. It has been mentiond 24 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Alternatives were Rows and Airtable. Rows tends to be better at calculation, while Airtable tends to be better at storing and sorting data as a database. I was not aware of the open-source alternative called Baserow at the time. I did not choose any office suite like Google Docs or Microsoft 365 because they seemed… too old-fashioned, I guess, while I wanted glitter. ✨. Source: almost 2 years ago
[Baserow], [APITable], [Grist], and [Rowy] are all open source Airtable alternatives which offer hosted SaaS versions that include API access, though it's a bit difficult to compare the API rate limits across all these products. Self-hosting an app like this would allow you to bypass API rate limits altogether, if you're open to it. All the above products can be self-hosted — and you might want to look at [NocoDB]... - Source: Hacker News / over 2 years ago
I have found rows.com recently, and im looking for a software to semi-automate my ppc reports (mostly facebook ads, but rarely google as well). Source: over 2 years ago
You can try using this tool: https://rows.com. Source: over 2 years ago
I work at Rows. It’s a spreadsheet with native UI to import data from many services ( Google Analytics, Ads platforms, BigQuery,…) plus you can make your own custom api calls directly from the grid. We also have zapier and make connectors, if you need to setup something more articulated. Source: over 2 years ago
We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk. Source: over 3 years ago
I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec. Source: over 3 years ago
Dask: Distributed data frames, machine learning and more. - Source: dev.to / almost 4 years ago
To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:. - Source: dev.to / almost 4 years ago
I’m quite sure dask helps and has a pandas like api though will use disk and not just RAM. Source: almost 4 years ago
Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
NocoDB - The Open Source Airtable alternative
NumPy - NumPy is the fundamental package for scientific computing with Python
Baserow - Open source no-code database and Airtable alternative. Create your own online database without technical experience. Performant with high volumes of data, can be self hosted and supports plugins
PySpark - PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor