molten | A minimal, extensible, fast and productive framework for building HTTP APIs with Python 3.6 and late | REST library

by Bogdanp Python Version: v1.0.2 License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | molten Summary

molten is a Python library typically used in Web Services, REST, Framework applications. molten has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has medium support. You can download it from GitHub.

Changelog: Community: Documentation:

Support

Quality

Security

License

Reuse

Support

molten has a medium active ecosystem.

It has 980 star(s) with 34 fork(s). There are 22 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 22 have been closed. On average issues are closed in 14 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of molten is v1.0.2

Quality

molten has 0 bugs and 0 code smells.

Security

molten has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

molten code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

molten is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

molten releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

molten saves you 3096 person hours of effort in developing the same functionality from scratch.

It has 6697 lines of code, 663 functions and 121 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed molten and discovered the below as its top functions. This is intended to give you an instant insight into molten implemented functionality, and help decide if they suit your requirements.

Validates the input against the given fields
Validate the value
Select a validator
Select validator for given field
Benchmark a task
Benchmark a given session
Returns the memory usage of a container
Run a shell command
Write the message to the given stream
Validates a field against a list
Setup the WSGI application
Add a route
Decorator for Prometheus
Loads a session from a cookie
Return a streaming response
Called when an exception occurs
Setup dramatiq module
Construct a Request object from the given environment
Receive messages from a websocket
Adds all values from mapping
Sends an envelope to recipient
Resolve a parameter
Resolve a given parameter
Handle an unhandled exception
Resolve the database
Serialize a session to a cookie

Get all kandi verified functions for this library.

molten Key Features

No Key Features are available at this moment for molten.

molten Examples and Code Snippets

No Code Snippets are available at this moment for molten.

Community Discussions

Trending Discussions on molten

Error can't find the y.position variable 'y.position' in the data

Replace multiple values in data table column after multiple pattern match

DataFrame from series, with values of index as rows/columns

R ReConstruct DataFrame

Data Table R: molten or reshape data table without stacked variable column

Historical Variance Error Decomposition plot in R

QUESTION

Error can't find the y.position variable 'y.position' in the data

Asked 2021-Sep-13 at 11:35

I am trying to plot significant values in ggplot boxplot I am getting error unable understand why this error is comming

my data

...

ANSWER

Answered 2021-Sep-13 at 11:24

It will work out, when you specify the y.position before plotting (see in the examples of ?stat_pvalue_manual):

Source https://stackoverflow.com/questions/69161379

QUESTION

Replace multiple values in data table column after multiple pattern match

Asked 2020-Nov-23 at 09:20

Here is a snippet that could help a few 'R beginners' like me: I was referring to this thread for a need on my melted data table:

Replace entire string anywhere in dataframe based on partial match with dplyr

I was looking for an easy way of replacing an entire string in one of the columns in data table with a partial match string. I could not find a straight fit on the forum, hence this post.

...

ANSWER

Answered 2020-Nov-22 at 18:11

data.table has a different API for updating in place. While this would be dplyr:

Source https://stackoverflow.com/questions/64952975

QUESTION

DataFrame from series, with values of index as rows/columns

Asked 2020-Jul-24 at 17:06

After a groupby and a count on a DataFrame, I have a series like this:

...

ANSWER

Answered 2020-Jul-24 at 17:06

I assumed the result of the groupby / count operation is a pandas Series.

The unstack() function accepts a level (1 or 'gender') in this case:

Source https://stackoverflow.com/questions/63078032

QUESTION

R ReConstruct DataFrame

Asked 2020-Mar-14 at 23:12

data1=data.frame("grade"=c(rep(1:3,6)),
                "class" = c(rep(c(rep('a',3),rep('b',3)),3)),
"score"=c(rep(c('p','p','p','s','s','s','q','q','q'),2)),
"p"=c(-9:8),
"s"=c(1:18),
"q"=c(21:38))


data2=data.frame("grade"=c(rep(1:3,6)),
                  "class" = c(rep(rep('a',3),rep('b',3),3)),
                "pp"=c(-9,-8,-7,0,1,2),
                "ps"=c(1,2,3,10,11,12),
                "pq"=c(21,22,23,30,31,32),
                "sp"=c(-6,-5,-4,3,4,5),
                "ss"=c(4,5,6,13,14,15),
                "sq"=c(24,25,26,33,34,35),
                "qp"=c(-3,-2,-1,6,7,8),
                "qs"=c(7,8,9,16,17,18),
                "qq"=c(27,28,29,36,37,38))

...

ANSWER

Answered 2020-Mar-14 at 16:40

You can use base function reshape for this.

I needed to add an extra variable (unique) to discriminate the first 9 from the second 9 rows in data1. You could delete this afterwards if you don't need it.

Source https://stackoverflow.com/questions/60684051

QUESTION

Data Table R: molten or reshape data table without stacked variable column

Asked 2020-Feb-03 at 17:31

Data

...

ANSWER

Answered 2020-Jan-31 at 21:26

If the input dataset is 6 row dataset, then we can create those columns as

Source https://stackoverflow.com/questions/60010710

QUESTION

Historical Variance Error Decomposition plot in R

Asked 2020-Jan-20 at 10:11

I found how to estimate the historical Variance Decomposition for VAR models in R in the below link

Historical Variance Error Decompotision Daniel Ryback

Daniel Ryback presents the result in an excel plot, but I wanted to prepare it with ggplot so I created some lines to get it, nevertheless, the plot I got in ggplot is very different to the one showed by Daniel in Excel. I replicated in excel and got the same result than Daniel so it seems there is an error in the way I am preparing the ggplot. Does anyone have a suggestion to arrive to the excel result?

See below my code

...

ANSWER

Answered 2020-Jan-20 at 10:11

The difference is that ggplot2 is ordering the variable factor and plotting it in a different order than excel. If you reorder the factor before plotting it will put 'unemployment' at the bottom and 'employment' at the top, as in excel:

Source https://stackoverflow.com/questions/59806668

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install molten

Check out the examples folder to get a taste of the framework or read the user guide!.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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