snakeviz | An in-browser Python profile viewer

by jiffyclub Python Version: 2.2.0 License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | snakeviz Summary

snakeviz is a Python library. snakeviz has no vulnerabilities and it has high support. However snakeviz has 11 bugs, it build file is not available and it has a Non-SPDX License. You can install using 'pip install snakeviz' or download it from GitHub, PyPI.

An in-browser Python profile viewer

Support

Quality

Security

License

Reuse

Support

snakeviz has a highly active ecosystem.

It has 1967 star(s) with 128 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 43 open issues and 90 have been closed. On average issues are closed in 363 days. There are 11 open pull requests and 0 closed requests.

It has a negative sentiment in the developer community.

The latest version of snakeviz is 2.2.0

Quality

snakeviz has 11 bugs (0 blocker, 0 critical, 9 major, 2 minor) and 10 code smells.

Security

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

snakeviz code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

snakeviz has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

snakeviz releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

snakeviz has no build file. You will be need to create the build yourself to build the component from source.

snakeviz saves you 385 person hours of effort in developing the same functionality from scratch.

It has 916 lines of code, 24 functions and 13 files.

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

Top functions reviewed by kandi - BETA

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

Show a specific profile
Format stats into JSON format
Return a list of rows
Show directory listing
Build the argument parser
Generate n random ports
Log an error message

Get all kandi verified functions for this library.

snakeviz Key Features

No Key Features are available at this moment for snakeviz.

snakeviz Examples and Code Snippets

Testing & profiling

Python

Lines of Code : 7

License : Permissive (MIT)

Copy

pip install pytest
pytest cuckoofilter/

pip install pytest-cov
pytest --cov-report html cuckoofilter/

pip install snakeviz
python -m cProfile -o out.profile example.py
snakeviz out.profile

Kolibri Studio,Additional tools,Profiling and local production testing

Python

Lines of Code : 4

License : Permissive (MIT)

Copy

yarn run localprodserver

cd deploy/chaos/loadtest
make timed_run
make stop_slaves  # mac: killall python

data_profiler,Installing

Python

Lines of Code : 3

License : Permissive (BSD-2-Clause)

Copy

#> conda install data_profiler

#> python setup.py install

#> pytest

Community Discussions

Trending Discussions on snakeviz

How to profile a script which uses python's multiprocessing

Jupyter snakeviz extension. Generated file location

google-coud-storage python list_blobs performance

How to output a .cprofile file from script

Efficiently construct FEM/FVM matrix

QUESTION

How to profile a script which uses python's multiprocessing

Asked 2019-Sep-13 at 17:36

I have a script file which uses the function parallel_map. ( source code of qutip.parallel.parallel_map) from a package QuTiP . As one would see on clicking the source code for the function, it uses the multiprocess module of python. I looked at answers of serial version of this question. I decided upon Snakeviz on reading zaxiliu's solution. But naively trying it on my code fails. So what must I do to profile my code? My heart is not set on Snakeviz. I don't mind using any other graphical tool.

...

ANSWER

Answered 2019-Sep-13 at 17:36

Doesn't satisfy the question requirements fully, but will work if nothing else is available

Try using serial_map instead of parallel_map from the same module. Replace (or better yet comment out) the line

from qutip.parallel import parallel_map

with

from qutip.parallel import serial_map

Now you have a serial implementation of code. This can be profiled using those described in serial version of your question. After this (assuming you go ahead with Snakeviz)

make the profile file

python -m cProfile -o program.prof my_program.py
Run Snakeviz on the profile file generated in the previous step

snakeviz program.prof

Source https://stackoverflow.com/questions/57926048

QUESTION

Jupyter snakeviz extension. Generated file location

Asked 2019-Jun-27 at 21:52

I've installed snakeviz into venv. Now I'm able to load extension into jupyter notebook via %load_ext snakeviz.

When I run it as magic in the beginning of the cell: %%snakeviz -t it prints

...

ANSWER

Answered 2019-Jun-27 at 21:52

Internally snakeviz uses pythons tempfile.NamedTemporaryFile for %snakeviz -t:

Source https://stackoverflow.com/questions/56657959

QUESTION

google-coud-storage python list_blobs performance

Asked 2019-Feb-15 at 19:19

I have a very simple python function:

...

ANSWER

Answered 2019-Feb-15 at 19:19

Your max_results=999999 is larger than 14599 - the number of objects, forcing all results into a single page. From Bucket.list_blobs():

Parameters:

max_results (int) – (Optional) The maximum number of blobs in each page of results from this request. Non-positive values are ignored. Defaults to a sensible value set by the API.

My guess is that the code spends a lot of time blocked waiting for the server to provide the info needed to iterate through the results.

So the 1st thing I'd try would be to actually iterate through multiple pages, using a max_results smaller than the number of blobs. Maybe 1000 or 2000 and see the impact on overall duration?

Maybe even trying to use the multiple pages explicitly, using blobs.pages, as suggested in the deprecated page_token property doc (emphasis mine):

page_token (str) – (Optional) If present, return the next batch of blobs, using the value, which must correspond to the nextPageToken value returned in the previous response. Deprecated: use the pages property of the returned iterator instead of manually passing the token.

But I'm not quite sure how to force the multiple pages to be simultaneously pulled. Maybe something like this?

Source https://stackoverflow.com/questions/54666813

QUESTION

How to output a .cprofile file from script

Asked 2017-Feb-22 at 15:52

I'm using the cProfiler in my script. I'd like to output the .cprofile file with results. I want to get the output file that is not human readable and later open it in snakeviz. Is that possible?

I cannot use the

...

ANSWER

Answered 2017-Feb-22 at 15:52

Ok, I've asked the question too soon. I've found that:

Source https://stackoverflow.com/questions/42396051

QUESTION

Efficiently construct FEM/FVM matrix

Asked 2017-Feb-22 at 07:56

This is a typical use case for FEM/FVM equation systems, so is perhaps of broader interest. From a triangular mesh à la

I would like to create a scipy.sparse.csr_matrix. The matrix rows/columns represent values at the nodes of the mesh. The matrix has entries on the main diagonal and wherever two nodes are connected by an edge.

Here's an MWE that first builds a node->edge->cells relationship and then builds the matrix:

...

ANSWER

Answered 2017-Feb-20 at 22:13

I would try creating the csr structure directly, especially if you are resorting to np.unique since this gives you sorted keys, which is half the job done.

I'm assuming you are at the point where you have i, j sorted lexicographically and overlapping v summed using np.add.at on the optional inverse output of np.unique.

Then v and j are already in csr format. All that's left to do is creating the indptr which you simply get by np.searchsorted(i, np.arange(M+1)) where M is the column length. You can pass these directly to the sparse.csr_matrix constructor.

Ok, let code speak:

Source https://stackoverflow.com/questions/42349191

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

Vulnerabilities

No vulnerabilities reported

Install snakeviz

You can install using 'pip install snakeviz' or download it from GitHub, PyPI.
You can use snakeviz like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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