python-sql

python-sql

Python Software Foundation
+

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About

Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.

About

pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form.Aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. Even create domain-specific time offsets and join time series without losing data.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

DevOps teams searching for a visualization library solution

Audience

Individuals searching for a data analysis solution

Audience

Developers searching for a solution offering a library to write SQL queries

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 3.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Bokeh
bokeh.org

Company Information

pandas
Founded: 2008
pandas.pydata.org

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

Alternatives

Alternatives

ML.NET

ML.NET

Microsoft

Alternatives

Plotly Dash

Plotly Dash

Plotly
warcat

warcat

Python Software Foundation
warcat

warcat

Python Software Foundation

Categories

Categories

Categories

Integrations

3LC
Activeeon ProActive
Amazon SageMaker Data Wrangler
Avanzai
Cleanlab
Coiled
Domino Enterprise MLOps Platform
Flower
Flyte
JavaScript
Kedro
MLJAR Studio
RunCode
Spyder
TeamStation
ThinkData Works
Train in Data
Union Pandera
Yandex Data Proc

Integrations

3LC
Activeeon ProActive
Amazon SageMaker Data Wrangler
Avanzai
Cleanlab
Coiled
Domino Enterprise MLOps Platform
Flower
Flyte
JavaScript
Kedro
MLJAR Studio
RunCode
Spyder
TeamStation
ThinkData Works
Train in Data
Union Pandera
Yandex Data Proc

Integrations

3LC
Activeeon ProActive
Amazon SageMaker Data Wrangler
Avanzai
Cleanlab
Coiled
Domino Enterprise MLOps Platform
Flower
Flyte
JavaScript
Kedro
MLJAR Studio
RunCode
Spyder
TeamStation
ThinkData Works
Train in Data
Union Pandera
Yandex Data Proc
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