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Tools to generate documentation.

Project description


Documentation tools for enterprise-quality documentation from Markdown source. Dactyl has advanced features to enable single-sourcing and an extensible syntax for building well-organized, visually attractive docs. It generates output in HTML (natively), and can make PDFs if you have Prince installed.


Dactyl requires Python 3. Install with pip:

sudo pip3 install dactyl

Or a local install in a virtualenv:

# Create an activate a virtualenv so the package and dependencies are localized
virtualenv -p `which python3` venv_dactyl
source venv_dactyl/bin/activate

# Check out this repo
git clone

# Install
pip3 install dactyl/

# Where 'dactyl/' is the top level directory of the repo, containing
# And note the trailing '/' which tells pip to use a local directory to install it.


Simple ("Ad-Hoc") usage:

$ dactyl_build --pages

By default, the resulting HTML pages are written to a folder called out/ in the current working directory. You can specify a different output path in the config file or by using the -o parameter.

Building PDF

Dactyl generates PDFs by making temporary HTML files and running Prince. Use the --pdf command to generate a PDF. Dactyl tries to come up with a sensible output filename by default, or you can provide one (which must end in .pdf):

$ dactyl_build --pages --pdf MyGuide.pdf

Advanced Usage

Dactyl is intended to be used with a config file containing a list of pages to parse. Pages are grouped into "targets" that represent a group of documents to be built together; a page can belong to multiple targets, and can even contain conditional syntax so that it builds slightly different depending on the target in question. Targets and pages can also use different templates from each other, and pages can inherit semi-arbitrary key/value pairs from the targets.

For more information on configuration, see the default-config.yml and the examples folder.

The input pages in the config file should be specified relative to the content_path, which is content/ by default. You can also specify a URL to pull in a markdown file from a remote source, but if you do, Dactyl won't run any pre-processing on it.

For a full list of Dactyl options, use the -h parameter.

Specifying a Config File

By default, Dactyl looks for a config file named dactyl-config.yml in the current working directory. You can specify an alternate config file with the -c or --config parameter:

$ dactyl_build -c path/to/alt-config.yml

For more information on configuration, see the default-config.yml and the examples folder.

Specifying a Target

If your config file contains more than one target, Dactyl builds the first one by default. You can specify a different target by passing its name value with the -t parameter:

$ dactyl_build -t non-default-target

Static Files

Your templates may require certain static files (such as JavaScript, CSS, and images) to display properly. Your content may have its own static files (such as diagrams and figures). By default, Dactyl assumes that templates have static files in the assets/ folder. You can configure this path and also specify one or more paths to static files referenced by your content. When you build, Dactyl copies files from these folders to the output folder by default depending on which mode you're building:

Build Mode Files copied to output folder by default
HTML Both template and content static files
PDF Neither template nor content static files (cannot be overridden)
Markdown Content static files only
ElasticSearch JSON Neither template nor content static files

You can use a commandline flag to explicitly specify what gets copied to the output folder, except in the case of PDF. (In PDF mode, Dactyl writes only the final PDF to the output folder.) The flags are as follows:

Flag (long version) Short version Meaning
--copy_static -s Copy all static files to the out dir.
--no_static -S Don't copy any static files to the out dir.
--template_static -T Copy only templates' static files to the out dir
--content_static -C Copy only the content's static files to the out dir

The following config file parameters control what paths Dactyl checks for static content:

Field Default Description
template_static_path assets/ Static files belonging to the templates.
content_static_path (None) Static files belonging to content. This can be a single folder path, as a string, or an array of paths to files or folders. Dactyl copies all files and folders (regardless of whether the current target uses them).

Listing Available Targets

If you have a lot of targets, it can be hard to remember what the short names for each are. If you provide the -l flag, Dactyl will list available targets and then quit without doing anything:

$ dactyl_build -l
tests        Dactyl Test Suite
rc-install        Ripple Connect v2.6.3 Installation Guide
kc-rt-faq        Ripple Trade Migration FAQ

Building Markdown

This mode runs the pre-processor only, so you can generate Markdown files that are more likely to display properly in conventional Markdown parsers (like the one built into GitHub). Use the --md flag to output Markdown files, skipping the HTML/PDF templates entirely.

$ dactyl_build --md

Building Only One Page

If you only want to build a single page, you can use the --only flag, followed by the filename you want to build (either the input filename ending in .md or the output filename ending in .html):

dactyl_build --only index.html --pdf

This command can be combined with the --pdf or --md flags. You can also use it with the --target setting (in case you want the context from the target even though you're only building one page.)

Watch Mode

You can use the -w flag to make Dactyl run continuously, watching for changes to its input templates or markdown files. Whenever it detects that a file has changed, Dactyl automatically rebuilds the output in whatever the current mode is, (HTML, PDF, or Markdown).

To be detected as a change, the file has to match one of the following patterns:


Beware: some configurations can lead to an infinite loop. (For example, if your output directory is a subdirectory of your content directory and you use Dactyl in --md mode.)

Limitations: Watch mode can be combined with --only, but re-builds the page even when it detects changes to unrelated pages. Watch mode doesn't detect changes to the config file, static files, or filters.

To stop watching, interrupt the Dactyl process (Ctrl-C in most terminals).

ElasticSearch Compatibility

Dactyl has the ability to build JSON formatted for upload to ElasticSearch and even upload it directly.

To build JSON files for upload to ElasticSearch, use the --es mode:

dactyl_build --es

This writes files to the usual output directory using an ElasticSearch JSON template. Dactyl skips any files that do not have a md source parameter in this mode. The output filenames are the pages' html filenames, except ending in .json instead of .html. You can specify a custom template for these JSON files using the top-level default_es_template field in the config file. This template must be a valid JSON file and has several special properties as described in ElasticSearch JSON Templates.

Dactyl can also upload these files directly to an ElasticSearch instance, even when building for another mode. For example, to build the HTML version of a target named filterdemos but also upload that target's JSON-formatted data to an ElasticSearch instance:

dactyl_build -t filterdemos --html --es_upload

The parameter to --es_upload should be the base URL of your ElasticSearch index. You can omit the parameter to use the default base URL of http://localhost:9200.

ElasticSearch JSON Templates

Dactyl has a special format for JSON templates meant for creating ElasticSearch data. These templates must be valid JSON and are processed according to the following rules:

  • Any strings in the fields' values are "preprocessed" in a similar context to the Jinja2-based Markdown preprocessor. For example, the string {{}} evaluates to the page's name.
  • Any object containing the key __dactyl_eval__ is evaluated as a Python expression. The object is replaced with the results of the expression, with lists becoming JSON arrays and dictionaries becoming JSON objects.
  • The above rules apply recursively to values nested in arrays and objects. All other values are preserved literally.

The context provided to the preprocessing and to the __dactyl_eval__ expressions is the same and contains the following:

Field Python Type Description
currentpage dict The current page definition (usually derived from the config file)
target dict The current target definition (usually derived from the config file)
categories list A list of unique category values used by pages in the current target, in order of appearance.
page_filters list A list of the names of Dactyl filters applied to the current page.
mode str Always equal to es in this context
current_time str The current time, in the time_format specified in the config. (Defaults to YYYY-MM-DD)
bypass_errors bool If true, this build is running with the option to continue through errors where possible.

OpenAPI Specification Parsing

Dactyl contains experimental support for automatically generating documentation from an OpenAPI Specification. Dactyl has partial support for v3.0.x of the OpenAPI spec.

From the commandline, you can generate documentation for a spec using the --openapi option, providing a file path or URL to the spec. For example:

dactyl_build --openapi

You can also add an OpenAPI specification to a config file, where the generated documentation can be part of a larger target that includes other files.

Link Checking

The link checker is a separate script. It assumes that you've already built some documentation to an output path. Use it as follows:

$ dactyl_link_checker

This checks all the files in the output directory for links and confirms that any HTTP(S) links, including relative links to other files, are valid. For anchor links, it checks that an element with the correct ID exists in the target file. It also checks that the src of all image tags exists.

If there are links that are always reported as broken but you don't want to remove (for example, URLs that block Python's user-agent) you can add them to the known_broken_links array in the config.

In quiet mode (-q), the link checker still reports in every 30 seconds just so that it doesn't get treated as stalled and killed by continuous integration software (e.g. Jenkins).

To reduce the number of meaningless failure reports (because a particular website happened to be down momentarily while you ran the link checker), if there are any broken remote links, the link checker waits 2 minutes after finishing and then retries those links in case they came back up. (If they did, they're not considered broken for the link checker's final report.)

You can also run the link checker in offline mode (-o) to skip any remote links and just check that the files and anchors referenced exist in the output directory.

If you have a page that uses JavaScript or something to generate anchors dynamically, the link checker can't find those anchors (since it doesn't run any JS). You can add such pages to the ignore_anchors_in array in your config to skip checking for links that go to anchors in such pages.

Style Checking

The style checker is experimental. It is only suitable for English text. It reports several details about document contents that may be helpful for identifying documents whose readability you could improve. These details are:

  • Discouraged words and phrases.
  • Page length details.
  • Readability scores.
  • Spell-checking.

Example usage:

$ dactyl_style_checker

The style checker re-generates contents in-memory (never writing it out), unlike the link checker which requires you to run dactyl_build first. It only checks contents that come from Markdown, not from HTML templates.

The style checker uses the first target in the config file unless you specify another target with -t. You can check just one file by passing its HTML path in the --only parameter.

The exit code of the command is 0 (success) if it found no discouraged words, the spell checker found no unknown words, and no pages failed their configured readability goals. Otherwise, the exit code of the command is 1 (failure).

Discouraged Words and Phrases

You can suggest specific words or phrases to discourage. The style checker checks for instances of these words and phrases in documents' content, and suggests alternatives based on the phrase file. Dactyl does not check text in <code>, <pre>, and <tt> elements since those are intended to be code samples.

To configure lists of discouraged words and phrases, add the following config options:

Field Value Description
word_substitutions_file String The path to a YAML file with a single top-level map. The keys are the words to discourage and the values are suggestions of words to replace them with.
phrase_substitutions_file String The path to a YAML file with a single top-level map. The keys are phrases to discourage and the values are suggestions of phrases to replace them with.

You can add an exemption to a specific discouraged word/phrase rule with an HTML comment. The exemption applies to the whole output (HTML) file in which it appears.

Maybe the word "will" is a discouraged word, but you really want to use it here without flagging it as a violation? Adding a comment like this <!-- STYLE_OVERRIDE: will --> makes it so.

Spell Checking

Dactyl uses pyspellchecker to report possible spelling errors and suggest corrections. The built-in dictionary is not very thorough; you can extend it by providing a dictionary file with more words. Spell checking is case-insensitive.

If you want the spell checker to skip a page, put skip_spell_checker: true in the page definition.

If you want to ignore one or more words on a single page only, add a comment such as the following anywhere in the page:

<!-- IGNORE_SPELLING: affectednodes, creatednode, deletednode, modifiednode -->

To extend the built-in dictionary used for all files, add the following field to the config. (You cannot remove words from the built-in dictionary.)

Field Value Description
spelling_file String Path to a text file with words to add to the dictionary. Each line of the file should contain a single word (case-insensitive).

Length Metrics

Dactyl reports the number of characters of text, number of sentences, and number of words in each document. These counts only include text contents (the parts generated from Markdown). They do not include code samples (not even inlined code words), or images/figures. The sentence counts are estimates. Headings, list items, and table cells each count as one sentence in these metrics. The summary includes the averages across all pages, and the stats for the three longest and shortest pages.

These metrics are intended to be helpful for choosing documents that would be better off combined or split up. They can also be useful for interpreting readability scores, which tend to be less reliable for very short documents.

Readability Scores

The style checker reports readability scores based on several formulas implemented in the textstat library. These can help you identify documents with a high proportion of big words and long sentences.

Caution: Readability formulas are not very smart. Trying to get a high readability score can actually decrease the clarity of your writing if you aren't mindful of other factors. Things readability formulas usually don't take into account include: brevity; complexity of the high-level structure; logical connections such as cause and effect; and precise use of language. They tend to score tables and bulleted lists badly even though those structure are very helpful for actual readability.

By default, Dactyl prints the readability scores for each page as it analyzes them. The -q option hides this output. The summary at the end lists the average scores for all pages analyzed and the three pages with the worst Flesch Reading Ease scores.

Readability Goals

You can set readability goals for individual pages or an entire target by adding the readability_goals field. This field should contain a map of readability metrics to target scores. Goals defined for individual pages override goals set for the entire target. Dactyl compares a page's readability scores to any goals set and reports a list of pages that failed their goals in the summary. The goal passes if the page's score is equal better (easier to read) than the stated goal value, and fails otherwise. For Flesch Reading Ease, higher scores represent better readability; for the other tests, lower scores represent better readability.

Note: Since very short pages tend to have inconsistent and unreliable readability scores, Dactyl does not calculate readability scores for pages with fewer than 10 "sentences". (Bullet points, headings, and table cells each count as separate "sentences" for this purpose.)

Example configuration:


  - name: my-target
    display_name: Example Target
        flesch_reading_ease: 50
        automated_readability_index: 12

The available readability tests are:

Field Name Details
flesch_reading_ease Flesch reading ease. Maximum score 121.22; no limit on how negative the score can be.
smog_index SMOG grade. Gives an estimated grade level.
coleman_liau_index Coleman-Liau index. Gives an estimated grade level.
automated_readability_index Automated readability index. Gives an estimated grade level.
dale_chall_readability_score Dale-Chall readability formula. Decimal representing difficulty; lower values map to lower grade levels.
linsear_write_formula Linsear Write formula. Gives an estimated grade level.
gunning_fog Gunning fog index. Gives an estimated grade level.

Estimated grade levels are based on the United States school system and are given as decimal approximations. For example, 11.5 represents somewhere between 11th and 12th grade (high school junior to senior).


Many parts of Dactyl are configurable. An advanced setup would probably have a directory structure such as the following:

./                      # Top-level dir; this is where you run dactyl_*
./dactyl-config.yml     # Default config file name
./content               # Dir containing your .md source files
---------/*/*.md        # You can sort .md files into subdirs if you like
---------/static/*      # Static images referencd in your .md files
./templates/template-*.html # Custom HTML Templates
./assets                # Directory for static files referenced by templates
./out                   # Directory where output gets generated. Can be deleted

All of these paths can be configured.


A target represents a group of pages, which can be built together or concatenated into a single PDF. You should have at least one target defined in the targets array of your Dactyl config file. A target definition should consist of a short name (used to specify the target in the commandline and elsewhere in the config file) and a human-readable display_name (used mostly by templates but also when listing targets on the commandline).

A simple target definition:

    -   name: kc-rt-faq
        display_name: Ripple Trade Migration FAQ

In addition to name and display_name, a target definition can contain arbitrary key-values to be inherited by all pages in this target. Dictionary values are inherited such that keys that aren't set in the page are carried over from the target, recursively. The rest of the time, fields that appear in a page definition take precedence over fields that appear in a target definition.

Some things you may want to set at the target level include filters (an array of filters to apply to pages in this target), template (template to use when building HTML), and pdf_template (template to use when building PDF). You can also use the custom values in templates and preprocessing. Some filters define additional fields that affect the filter's behavior.

The following field names cannot be inherited: name, display_name, and pages.


Each page represents one HTML file in your output. A page can belong to one or more targets. When building a target, all the pages belonging to that target are built in the order they appear in the pages array of your Dactyl config file.

Example of a pages definition with two files:

    -   name: RippleAPI
        category: References
        html: reference-rippleapi.html
            - remove_doctoc
            - add_version
            - local

    -   name: rippled
        category: References
        html: reference-rippled.html
            - local

Each individual page definition can have the following fields:

Field Type Description
targets Array The short names of the targets that should include this page.
html String (Optional) The filename where this file should be written in the output directory. If omitted, Dactyl chooses a filename based on the md field (if provided), the name field (if provided), or the current time (as a last resort). By default, generated filenames flatten the folder structure of the md files. To instead replicate the folder structure of the source documents in auto-generated filenames, add flatten_default_html_paths: true to the top level of your Dactyl config file.
name String (Optional) Human-readable display name for this page. If omitted but md is provided, Dactyl tries to guess the right file name by looking at the first two lines of the md source file.
md String (Optional) The markdown filename to parse to generate this page, relative to the content_path in your config. If this is not provided, the source file is assumed to be empty. (You might do that if you use a nonstandard template for this page.)
openapi_specification String (Optional) The file path or http(s) URL to an OpenAPI v3.0 specification to be parsed into generated documentation. If provided, this entry becomes expanded into a set of several pages that describe the methods and data types defined for the given API. The generated pages inherit the other fields of this page object. Experimental. If the path is a relative path, it is evaluated based on the directory Dactyl is called from, not the content directory.
api_slug String (Optional) If this is an openapi_specification entry,
category String (Optional) The name of a category to group this page into. This is used by Dactyl's built-in templates to organize the table of contents.
template String (Optional) The filename of a custom Jinja HTML template to use when building this page for HTML, relative to the template_path in your config.
pdf_template String (Optional) The filename of a custom Jinja HTML template to use when building this page for PDF, relative to the template_path in your config.
openapi_md_template_path String (Optional) Path to a folder containing templates to be used for OpenAPI spec parsing. If omitted, use the built-in templates.
parent String (Optional) The HTML filename of the page to treat as a parent of this one for purposes of hierarchy. If omitted, treat the page as a "top-level" page.
... (Various) Additional arbitrary key-value pairs as desired. These values can be used by templates or pre-processing.

If the file specified by md begins with YAML frontmatter, separated by a line of exactly ---, the frontmatter is used as a basis for these fields. Certain frontmatter fields are adapted from Jekyll format to Dactyl format: for example, title gets copied to name if the page does not have a name.

The following fields are automatically added after a page has been parsed to HTML. (They're not available when preprocessing or rendering Markdown to HTML, but are available when rendering HTML templates.)

Field Type Description
plaintext String A plaintext-only version of the page's markdown content, with all Markdown and HTML syntax removed.
headermap Dictionary A mapping of the page's headers to the unique IDs of those headers in the generated HTML version.
blurb String An introductory blurb generated from the page's first paragraph of text.
children List A list of pages, in order of appearance, that refer to this page as their parent. Each of these "child" pages is a reference to the page definition (dictionary) for that child.
is_ancestor_of Function A function that takes one argument, the string identifying a potential child page by that child's html field. This function returns True if this page is a direct or indirect parent of the child page.

OpenAPI Specifications

You can add a special entry to the pages array to represent an OpenAPI v3.0 specification, which will be expanded into several pages representing the methods and data types specified in the file. For example:

-   openapi_specification:
    api_slug: petstore
    foo: bar
        - baz

The api_slug field is optional, and provides a prefix that gets used for a bunch of file names and stuff. Other fields are inherited by all of the pages the specification builds, which are:

  • An "All Methods" table of contents, listing every path operation in the paths of the OpenAPI specification.
  • "Tag Methods" table of contents pages for each tag used in the OpenAPI specification.
  • Pages for all "API Methods" (path operations) in paths of the OpenAPI specification.
  • A "Data Types" table of contents, listing every data type defined in the schema section of the OpenAPI specification.
  • Individual pages for each data type in the OpenAPI specification's schema section.

You can override the templates used for generated OpenAPI pages to adjust how the Markdown is generated by providing the path to a different set of templates in the openapi_md_template_path field.


Dactyl supports extended Markdown syntax with the Python-Markdown Extra module. This correctly parses most GitHub-Flavored Markdown syntax (such as tables and fenced code blocks) as well as a few other features.


Dactyl pre-processes Markdown files by treating them as Jinja Templates, so you can use Jinja's templating syntax to do advanced stuff like include other files or pull in variables from the config or commandline. Dactyl passes the following fields to Markdown files when it pre-processes them:

Field Value
target The target definition of the current target.
pages The array of page definitions in the current target. Use this to generate navigation across pages. (The default templates don't do this, but you should.)
currentpage The definition of the page currently being rendered.
categories A de-duplicated array of categories that are used by at least one page in this target, sorted in the order they first appear.
config The global Dactyl config object.
content The parsed HTML content of the page currently being rendered.
current_time The current date as of rendering. The format is YYYY-MM-DD by default; you can also set the time_format field to a custom stftime format string.
mode The output format: either html (default), pdf, or md.

Adding Variables from the Commandline

You can pass in a JSON or YAML-formatted list of variables using --vars commandline switch. Any such variables get added as fields of target and inherited by currentpage in any case where currentpage does not already have the same variable name set. For example:

$ cat md/
Myvar is: '{{ target.myvar }}'

$ dactyl_build --vars '{"myvar":"foo"}'
rendering pages...
writing to file: out/index.html...
Preparing page
reading markdown from file:
... parsing markdown...
... modifying links for target: default
... re-rendering HTML from soup...
writing to file: out/test_vars.html...
done rendering
copying static pages...

$ cat out/test_vars.html | grep Myvar
<p>Myvar is: 'foo'</p></main>

If argument to --vars ends in .yaml or .json, Dactyl treats the argument as a filename and opens it as a YAML file. (YAML is a superset of JSON, so this works for JSON files.) Otherwise, Dactyl treats the argument as a YAML/JSON object directly. Be sure that the argument is quoted and escaped as necessary based on the commandline shell you use.

You cannot set the following reserved keys:

  • name
  • display_name (Instead, use the --title argument to set the display name of the target on the commandline.)
  • pages


Furthermore, Dactyl supports additional custom post-processing through the use of filters. Filters can operate on the markdown (after it's been pre-processed), on the raw HTML (after it's been parsed), or on a BeautifulSoup object representing the output HTML. Filters can also export functions and values that are available to the preprocessor.

Dactyl comes with several filters, which you can enable in your config file. You can also write your own filters. If you do, you must specify the paths to the folder(s) containing your filter files in the filter_paths array of the config file.

To enable a filter for a target or page, set the filters field of the config to be an array of filter names, where the filter names are derived from the Python source files in the format filter_<filtername>.py. Filter names must be valid Python variable names, so they can't start with a numeral and must contain only alphanumeric and underscore characters.

Dactyl automatically runs the following functions from filter files (skipping any that aren't defined):

  1. Before running the preprocessor on a page, Dactyl adds all items from each filter's export global dictionary to the preprocessor environment.
  2. Dactyl runs the filter_markdown(md, **kwargs) function of each filter after the preprocessor. This function receives the preprocessed markdown as a string in the md argument and must return a string with the markdown as filtered.
  3. Dactyl runs the filter_html(html, **kwargs) function after the markdown processor. This function receives the parsed markdown content as an HTML string in the html argument and must return a string with the HTML as filtered.
  4. Dactyl runs the filter_soup(soup, **kwargs) function after the HTML filters. This function is expected to directly modify the soup argument, which contains a BeautifulSoup 4 object representing the HTML contents.

The keyword arguments (**kwargs) for the functions may change in future versions. As of Dactyl 0.5.0, the arguments are as follows:

Field Type Description
currentpage Dict The current page, as defined in the config file plus values inherited from the current target and any processing or calculations. (For example, Dactyl automatically adds a name field if one isn't present.)
categories List A de-duplicated, ordered list of category fields present among pages in this target.
pages List A list of page objects for all pages in the current target, in the same order they appear in the config file.
target Dict The current target definition, as derived from the config file.
current_time String The time this build was started. The format is defined by your config's global time_format field (in stftime format), defaulting to YYYY-MM-DD.
mode String Either html, pdf, or md depending on what output Dactyl is building.
config Dict The global config object, based on the config file plus any commandline switches.
logger Logger The logging object Dactyl uses, with the verbosity set to match user input.

See the examples for examples of how to do many of these things.


Dactyl provides the following information to templates, which you can access with Jinja's templating syntax (e.g. {{ target.display_name }}):

Field Value
target The target definition of the current target.
pages The array of page definitions in the current target. Use this to generate navigation across pages. (The default templates don't do this, but you should.)
currentpage The definition of the page currently being rendered.
categories A de-duplicated array of categories that are used by at least one page in this target, sorted in the order they first appear.
config The global Dactyl config object.
content The parsed HTML content of the page currently being rendered.
current_time The current date as of rendering. The format is YYYY-MM-DD by default; you can also set the time_format field to a custom stftime format string.
mode The output format: either html (default), pdf, or md.
page_toc A table of contents generated from the current page's headers. Wrap this in a <ul> element.
sidebar_content (Deprecated alias for page_toc.)

OpenAPI Spec Templates

When generating docs from an API specification, Dactyl generates a Markdown version for each of these pages first, then uses that as the content for the HTML version as it does when parsing normal Markdown pages. You can use your own templates instead. The templates must use the same filenames as the built-in OpenAPI templates, which match the pattern template-openapi_*.md.

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