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index.html
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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.3/dist/css/bootstrap.min.css" integrity="sha384-QWTKZyjpPEjISv5WaRU9OFeRpok6YctnYmDr5pNlyT2bRjXh0JMhjY6hW+ALEwIH" crossorigin="anonymous">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/github-fork-ribbon-css/0.2.3/gh-fork-ribbon.min.css" integrity="sha512-TktJbycEG5Van9KvrSHFUcYOKBroD7QCYkEe73HAutODCw9QTFcvF6fuxioYM1h6THNudK1GjVidazj6EslK4A==" crossorigin="anonymous">
<link rel="icon" href="favicon.ico">
<link rel="stylesheet" href="style.css">
<title>Manylinux Timeline</title>
</head>
<body>
<div class="container-fluid">
<h1 id="title">Manylinux Timeline</h1>
<div class="row">
<div class="col">
<h2 id="producer-statistics">Package statistics</h2>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="lowest-policy">Lowest (required) manylinux policy</h2>
<div><div id="lowest-policy-plot" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="highest-policy">Highest (available) manylinux policy</h2>
<div><div id="highest-policy-plot" class="plotly-graph-div"></div></div>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="python-implementation">Python implementations</h2>
<div><div id="python-implementation-plot" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="architecture">Architectures</h2>
<div><div id="architecture-plot" class="plotly-graph-div"></div></div>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="package">Packages</h2>
<div><div id="package-plot" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="producer-about">About package statistics</h2>
<p>Old manylinux images have reached <a href="https://github.com/mayeut/pep600_compliance/blob/master/README.rst">end of life</a>. It's about time to drop support for them.</p>
<p>This section shows the adoption of newer manylinux images and how packagers are using them.</p>
<p><span id="package_count">0</span> packages providing manylinux wheels have been released on <a href="https://pypi.org/">PyPI</a> in the analysis timeframe. Considering this low number of packages, the data set is smoothed using a sliding window algorithm. Only the latest version of a given package is taken into account in this 6-month window.</p>
</div>
</div>
<div class="row">
<div class="col">
<h2 id="consumer-statistics">Consumer statistics</h2>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="consumer-python-version">Python version (All)</h2>
<div><div id="consumer-python-version-plot" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="consumer-glibc-version">glibc version (across all Python versions)</h2>
<div><div id="consumer-glibc-version-plot" class="plotly-graph-div"></div></div>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="consumer-python-version-non-eol">Python version (non-EOL)</h2>
<div><div id="consumer-python-version-plot-non-eol" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="consumer-glibc-version-non-eol">glibc version (across non-EOL Python versions)</h2>
<div><div id="consumer-glibc-version-plot-non-eol" class="plotly-graph-div"></div></div>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="consumer-about">About consumer statistics</h2>
<p>This section shows consumer readiness for a given policy.</p>
<p>
Before Python 3.10, support for a policy was a combination of glibc version (as denoted in the policy name for PEP600)
and pip version. As of Python 3.10, the default pip is always capable of PEP600 based manylinux wheels.
Before that, the pip version available (without manually upgrading) depends on the Python version
and/or the Linux distribution being used. At least the Python version is explicit in this section.
</p>
<p>
All manylinux wheel downloads from <a href="https://pypi.org/">PyPI</a> using pip are analysed each day to compute those statistics.
The data set is smoothed using a 1-month sliding window algorithm.
</p>
</div>
<div class="col-sm-6">
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="consumer-glibc-readiness-3.13">glibc readiness for python 3.13 (Preview)</h2>
<div><div id="consumer-glibc-readiness-3.13-plot" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="consumer-glibc-readiness-3.12">glibc readiness for python 3.12</h2>
<div><div id="consumer-glibc-readiness-3.12-plot" class="plotly-graph-div"></div></div>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="consumer-glibc-readiness-3.11">glibc readiness for python 3.11</h2>
<div><div id="consumer-glibc-readiness-3.11-plot" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="consumer-glibc-readiness-3.10">glibc readiness for python 3.10</h2>
<div><div id="consumer-glibc-readiness-3.10-plot" class="plotly-graph-div"></div></div>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="consumer-policy-readiness-3.9">Policy readiness for python 3.9</h2>
<div><div id="consumer-policy-readiness-3.9-plot" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="consumer-glibc-readiness-3.9">glibc readiness for python 3.9</h2>
<div><div id="consumer-glibc-readiness-3.9-plot" class="plotly-graph-div"></div></div>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="consumer-policy-readiness-3.8">Policy readiness for python 3.8</h2>
<div><div id="consumer-policy-readiness-3.8-plot" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="consumer-glibc-readiness-3.8">glibc readiness for python 3.8</h2>
<div><div id="consumer-glibc-readiness-3.8-plot" class="plotly-graph-div"></div></div>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="consumer-policy-readiness-3.7">Policy readiness for python 3.7 (EOL)</h2>
<div><div id="consumer-policy-readiness-3.7-plot" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="consumer-glibc-readiness-3.7">glibc readiness for python 3.7 (EOL)</h2>
<div><div id="consumer-glibc-readiness-3.7-plot" class="plotly-graph-div"></div></div>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="consumer-policy-readiness-3.6">Policy readiness for python 3.6 (EOL)</h2>
<div><div id="consumer-policy-readiness-3.6-plot" class="plotly-graph-div"></div></div>
</div>
<div class="col-sm-6">
<h2 id="consumer-glibc-readiness-3.6">glibc readiness for python 3.6 (EOL)</h2>
<div><div id="consumer-glibc-readiness-3.6-plot" class="plotly-graph-div"></div></div>
</div>
</div>
<div class="row">
<div class="col">
<h2 id="general-info">General information</h2>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<h2 id="bugs">Something's wrong with this page!</h2>
<p>Fantastic, a problem found is a problem fixed. Please <a href="https://github.com/mayeut/manylinux-timeline/issues/">create a ticket</a>!</p>
<p>You can also <a href="https://github.com/mayeut/manylinux-timeline/pulls/">submit a pull request</a>.</p>
</div>
<div class="col-sm-6">
<h2 id="thanks">Thanks</h2>
<p>Thanks to <a href="https://hugovk.github.io/drop-python/">Drop Python</a>, <a href="https://pythonwheels.com/">Python Wheels</a> and <a href="https://python3wos.appspot.com/">Python 3 Wall of Superpowers</a> for the concept and making their code open source.</p>
</div>
</div>
<footer>
<p class="footer">This is not an official website, just a nice visual way to measure progress. To see the authoritative guide on wheels and other aspects of python packaging, see the <a href="https://packaging.python.org">Python Packaging User Guide</a>.</p>
<p class="footer">Last updated <span id="last_update">never</span>. (Updated daily.)</p>
<a class="github-fork-ribbon" href="https://github.com/mayeut/manylinux-timeline" target="_blank" data-ribbon="Fork me on GitHub" title="Fork me on GitHub">Fork me on GitHub</a>
</footer>
</div>
<script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>
<script src="https://cdn.plot.ly/plotly-2.32.0.min.js" integrity="sha512-Aw/O5tGIneAFOqDUyrKBgoMFuUnM8AN+JIYAeG0anjDbCRCeyTY6S41Kvnp07K1pz7HSUNYe/a+a/Ub9raDHXg==" crossorigin="anonymous" charset="utf-8"></script>
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<script>
window.PLOTLYENV=window.PLOTLYENV || {};
function load_plot(id, index, series, stacked, ticksuffix, traceorder, show_cum_sum, color_map=undefined) {
const colors = ["#636efa", "#ef553b", "#00cc96", "#ab63fa", "#ffa15a", "#19d3f3", "#ff6692", "#b6e880", "#ff97ff", "#fecb52", "#1f77b4", "#ff7f0e", "#2ca02c", "#d62728", "#9467bd", "#8c564b", "#e377c2", "#7f7f7f", "#bcbd22", "#17becf", "#aec7e8", "#ffbb78", "#98df8a", "#ff9896", "#c5b0d5", "#c49c94", "#f7b6d2", "#c7c7c7", "#dbdb8d", "#9edae5"];
var global_parameters = {"mode": "lines", "orientation": "v", "showlegend": true, "x": index, "xaxis": "x", "yaxis": "y"};
if (stacked) {
global_parameters = Object.assign(global_parameters, {"stackgroup": 1, "type": "scatter"});
}
else {
global_parameters = Object.assign(global_parameters, {"type": "scattergl"});
}
var series_parameters = [];
var cum_sum;
series.keys.forEach(function (key, index) {
var y = series[key]
if (cum_sum == undefined) {
cum_sum = Array.from(y)
}
else {
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return num + y[idx];
});
}
var color_index = index;
if (color_map != undefined) {
color_index = color_map.indexOf(key);
}
new_series = Object.assign({}, global_parameters);
new_series = Object.assign(new_series, {"y":y, "legendgroup": key, "name": key, "line": {"color": colors[color_index]}});
if (show_cum_sum) {
new_series = Object.assign(new_series, {"customdata": cum_sum, "hovertemplate": "%{y:.1f}% - %{customdata:.1f}% overall"})
}
series_parameters.push(new_series);
});
if (ticksuffix == "%") {
tickformat = ",.1f"
}
else {
tickformat = ",d"
}
Plotly.newPlot(id, series_parameters, {"hovermode": "x unified", "legend": {"orientation": "h", "tracegroupgap": 0, "x": 0.5, "xanchor": "center", "y": 1.0, "yanchor": "bottom", "traceorder": traceorder}, "margin": {"b": 80, "l": 0, "r": 0, "t": 0}, "template": { "layout": { "plot_bgcolor": "#E5ECF6", "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "tickangle": 45}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "zerolinecolor": "white", "tickformat": tickformat, "ticksuffix": ticksuffix}}}}, {"displayModeBar": false, "responsive": true});
}
function update_producer_data(data) {
$("#last_update").text(data.last_update)
$("#package_count").text(data.package_count)
load_plot("lowest-policy-plot", data.index, data.lowest_policy, true, "%", "normal", false);
load_plot("highest-policy-plot", data.index, data.highest_policy, true, "%", "normal", false);
load_plot("python-implementation-plot", data.index, data.implementation, false, "%", "normal", false);
load_plot("architecture-plot", data.index, data.architecture, false, "%", "normal", false);
load_plot("package-plot", data.index, data.package, false, "", "normal", false);
}
function update_consumer_data(data) {
$("#last_update").text(data.last_update)
$("#package_count").text(data.package_count)
load_plot("consumer-python-version-plot", data.index, data.python_version, true, "%", "normal", false);
load_plot("consumer-glibc-version-plot", data.index, data.glibc_version, true, "%", "reversed", true);
load_plot("consumer-python-version-plot-non-eol", data.index, data.python_version_non_eol, true, "%", "normal", false, data.python_version.keys);
load_plot("consumer-glibc-version-plot-non-eol", data.index, data.glibc_version_non_eol, true, "%", "reversed", true);
load_plot("consumer-glibc-readiness-3.13-plot", data.index, data.glibc_readiness["3.13"], true, "%", "reversed", true);
load_plot("consumer-glibc-readiness-3.12-plot", data.index, data.glibc_readiness["3.12"], true, "%", "reversed", true);
load_plot("consumer-glibc-readiness-3.11-plot", data.index, data.glibc_readiness["3.11"], true, "%", "reversed", true);
load_plot("consumer-glibc-readiness-3.10-plot", data.index, data.glibc_readiness["3.10"], true, "%", "reversed", true);
load_plot("consumer-policy-readiness-3.9-plot", data.index, data.policy_readiness["3.9"], true, "%", "reversed", true);
load_plot("consumer-glibc-readiness-3.9-plot", data.index, data.glibc_readiness["3.9"], true, "%", "reversed", true);
load_plot("consumer-policy-readiness-3.8-plot", data.index, data.policy_readiness["3.8"], true, "%", "reversed", true);
load_plot("consumer-glibc-readiness-3.8-plot", data.index, data.glibc_readiness["3.8"], true, "%", "reversed", true);
load_plot("consumer-policy-readiness-3.7-plot", data.index, data.policy_readiness["3.7"], true, "%", "reversed", true);
load_plot("consumer-glibc-readiness-3.7-plot", data.index, data.glibc_readiness["3.7"], true, "%", "reversed", true);
load_plot("consumer-policy-readiness-3.6-plot", data.index, data.policy_readiness["3.6"], true, "%", "reversed", true);
load_plot("consumer-glibc-readiness-3.6-plot", data.index, data.glibc_readiness["3.6"], true, "%", "reversed", true);
}
$.getJSON("producer-data.json")
.done(function( json ) {
update_producer_data(json);
})
.fail(function( jqxhr, textStatus, error ) {
var err = textStatus + ", " + error;
console.log( "Request Failed: " + err );
alert("Can't load producer data !");
});
$.getJSON("consumer-data.json")
.done(function( json ) {
update_consumer_data(json);
})
.fail(function( jqxhr, textStatus, error ) {
var err = textStatus + ", " + error;
console.log( "Request Failed: " + err );
alert("Can't load consumer data !");
});
</script>
</body>
</html>