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Rucio - Scientific Data Management

Rucio is a software framework that provides functionality to organize, manage, and access large volumes of scientific data using customisable policies. The data can be spread across globally distributed locations and across heterogeneous data centers, uniting different storage and network technologies as a single federated entity. Rucio offers advanced features such as distributed data recovery or adaptive replication, and is highly scalable, modular, and extensible. Rucio has been originally developed to meet the requirements of the high-energy physics experiment ATLAS, and is continuously extended to support LHC experiments and other diverse scientific communities.

Documentation

General information, API/REST description and guides can be found in our documentation or on our webpage.

Try it out

We provide a dockerized environment which serves both as a demo environment and a development environment. It includes all the necessary preconfigured components for multiple storage and transfers developments.

Developers

For information on how to contribute to Rucio, please refer and follow our CONTRIBUTING guidelines. We strongly recommend to use the dockerized environment for development.

Responsible for PR merging in rucio/rucio: Martin Barisits, Dimitrios Christidis

Operators

To learn how to deploy and configure Rucio, consult the documentation available online.

Getting Support

If you are looking for support, please contact us via one of our official channels.

About

Rucio - Scientific Data Management

rucio.cern.ch

Resources

Readme
License

Code of conduct

Code of conduct

Contributing

Contributing

Security policy

Security policy
Activity

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Watchers

0 watching

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0 forks
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - voetberg/rucio: Rucio - Scientific Data Management · GitHub
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Rucio - Scientific Data Management
Rucio is a software framework that provides functionality to organize, manage, and access large volumes of scientific data using customisable policies.
The data can be spread across globally distributed locations and across heterogeneous data centers, uniting different storage and network technologies as a single federated entity.
Rucio offers advanced features such as distributed data recovery or adaptive replication, and is highly scalable, modular, and extensible.
Rucio has been originally developed to meet the requirements of the high-energy physics experiment ATLAS, and is continuously extended to support LHC experiments and other diverse scientific communities.
Documentation
General information, API/REST description and guides can be found in our documentation or on our webpage.
Try it out
We provide a dockerized environment which serves both as a demo environment and a development environment.
It includes all the necessary preconfigured components for multiple storage and transfers developments.
Developers
For information on how to contribute to Rucio, please refer and follow our CONTRIBUTING guidelines. We strongly recommend to use the dockerized environment for development.
Responsible for PR merging in rucio/rucio: Martin Barisits, Dimitrios Christidis
Operators
To learn how to deploy and configure Rucio, consult the documentation available online.
Getting Support
If you are looking for support, please contact us via one of our official channels.
About
Rucio - Scientific Data Management
rucio.cern.ch
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - voetberg/rucio: Rucio - Scientific Data Management · GitHub
Skip to content
BranchesTags
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Rucio - Scientific Data Management
Rucio is a software framework that provides functionality to organize, manage, and access large volumes of scientific data using customisable policies.
The data can be spread across globally distributed locations and across heterogeneous data centers, uniting different storage and network technologies as a single federated entity.
Rucio offers advanced features such as distributed data recovery or adaptive replication, and is highly scalable, modular, and extensible.
Rucio has been originally developed to meet the requirements of the high-energy physics experiment ATLAS, and is continuously extended to support LHC experiments and other diverse scientific communities.
Documentation
General information, API/REST description and guides can be found in our documentation or on our webpage.
Try it out
We provide a dockerized environment which serves both as a demo environment and a development environment.
It includes all the necessary preconfigured components for multiple storage and transfers developments.
Developers
For information on how to contribute to Rucio, please refer and follow our CONTRIBUTING guidelines. We strongly recommend to use the dockerized environment for development.
Responsible for PR merging in rucio/rucio: Martin Barisits, Dimitrios Christidis
Operators
To learn how to deploy and configure Rucio, consult the documentation available online.
Getting Support
If you are looking for support, please contact us via one of our official channels.
About
Rucio - Scientific Data Management
rucio.cern.ch
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - voetberg/rucio: Rucio - Scientific Data Management · GitHub
Skip to content
BranchesTags
Repository files navigation
Rucio - Scientific Data Management
Rucio is a software framework that provides functionality to organize, manage, and access large volumes of scientific data using customisable policies.
The data can be spread across globally distributed locations and across heterogeneous data centers, uniting different storage and network technologies as a single federated entity.
Rucio offers advanced features such as distributed data recovery or adaptive replication, and is highly scalable, modular, and extensible.
Rucio has been originally developed to meet the requirements of the high-energy physics experiment ATLAS, and is continuously extended to support LHC experiments and other diverse scientific communities.
Documentation
General information, API/REST description and guides can be found in our documentation or on our webpage.
Try it out
We provide a dockerized environment which serves both as a demo environment and a development environment.
It includes all the necessary preconfigured components for multiple storage and transfers developments.
Developers
For information on how to contribute to Rucio, please refer and follow our CONTRIBUTING guidelines. We strongly recommend to use the dockerized environment for development.
Responsible for PR merging in rucio/rucio: Martin Barisits, Dimitrios Christidis
Operators
To learn how to deploy and configure Rucio, consult the documentation available online.
Getting Support
If you are looking for support, please contact us via one of our official channels.
About
Rucio - Scientific Data Management
rucio.cern.ch
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
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if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
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}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - voetberg/rucio: Rucio - Scientific Data Management · GitHub
Skip to content
BranchesTags
Repository files navigation
Rucio - Scientific Data Management
Rucio is a software framework that provides functionality to organize, manage, and access large volumes of scientific data using customisable policies.
The data can be spread across globally distributed locations and across heterogeneous data centers, uniting different storage and network technologies as a single federated entity.
Rucio offers advanced features such as distributed data recovery or adaptive replication, and is highly scalable, modular, and extensible.
Rucio has been originally developed to meet the requirements of the high-energy physics experiment ATLAS, and is continuously extended to support LHC experiments and other diverse scientific communities.
Documentation
General information, API/REST description and guides can be found in our documentation or on our webpage.
Try it out
We provide a dockerized environment which serves both as a demo environment and a development environment.
It includes all the necessary preconfigured components for multiple storage and transfers developments.
Developers
For information on how to contribute to Rucio, please refer and follow our CONTRIBUTING guidelines. We strongly recommend to use the dockerized environment for development.
Responsible for PR merging in rucio/rucio: Martin Barisits, Dimitrios Christidis
Operators
To learn how to deploy and configure Rucio, consult the documentation available online.
Getting Support
If you are looking for support, please contact us via one of our official channels.
About
Rucio - Scientific Data Management
rucio.cern.ch
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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Packages
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - voetberg/rucio: Rucio - Scientific Data Management · GitHub
Skip to content
BranchesTags
Repository files navigation
Rucio - Scientific Data Management
Rucio is a software framework that provides functionality to organize, manage, and access large volumes of scientific data using customisable policies.
The data can be spread across globally distributed locations and across heterogeneous data centers, uniting different storage and network technologies as a single federated entity.
Rucio offers advanced features such as distributed data recovery or adaptive replication, and is highly scalable, modular, and extensible.
Rucio has been originally developed to meet the requirements of the high-energy physics experiment ATLAS, and is continuously extended to support LHC experiments and other diverse scientific communities.
Documentation
General information, API/REST description and guides can be found in our documentation or on our webpage.
Try it out
We provide a dockerized environment which serves both as a demo environment and a development environment.
It includes all the necessary preconfigured components for multiple storage and transfers developments.
Developers
For information on how to contribute to Rucio, please refer and follow our CONTRIBUTING guidelines. We strongly recommend to use the dockerized environment for development.
Responsible for PR merging in rucio/rucio: Martin Barisits, Dimitrios Christidis
Operators
To learn how to deploy and configure Rucio, consult the documentation available online.
Getting Support
If you are looking for support, please contact us via one of our official channels.
About
Rucio - Scientific Data Management
rucio.cern.ch
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
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var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - voetberg/rucio: Rucio - Scientific Data Management · GitHub
Skip to content
BranchesTags
Repository files navigation
Rucio - Scientific Data Management
Rucio is a software framework that provides functionality to organize, manage, and access large volumes of scientific data using customisable policies.
The data can be spread across globally distributed locations and across heterogeneous data centers, uniting different storage and network technologies as a single federated entity.
Rucio offers advanced features such as distributed data recovery or adaptive replication, and is highly scalable, modular, and extensible.
Rucio has been originally developed to meet the requirements of the high-energy physics experiment ATLAS, and is continuously extended to support LHC experiments and other diverse scientific communities.
Documentation
General information, API/REST description and guides can be found in our documentation or on our webpage.
Try it out
We provide a dockerized environment which serves both as a demo environment and a development environment.
It includes all the necessary preconfigured components for multiple storage and transfers developments.
Developers
For information on how to contribute to Rucio, please refer and follow our CONTRIBUTING guidelines. We strongly recommend to use the dockerized environment for development.
Responsible for PR merging in rucio/rucio: Martin Barisits, Dimitrios Christidis
Operators
To learn how to deploy and configure Rucio, consult the documentation available online.
Getting Support
If you are looking for support, please contact us via one of our official channels.
About
Rucio - Scientific Data Management
rucio.cern.ch
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
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filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
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filter: invert(1) hue-rotate(180deg) !important;
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background: #2d2d44 !important;
border-color: #444 !important;
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::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
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::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
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if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
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console.log('[Universal Dark Mode] Enabled');
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console.log('[Universal Dark Mode] Disabled');
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - voetberg/rucio: Rucio - Scientific Data Management · GitHub
Skip to content
BranchesTags
Repository files navigation
Rucio - Scientific Data Management
Rucio is a software framework that provides functionality to organize, manage, and access large volumes of scientific data using customisable policies.
The data can be spread across globally distributed locations and across heterogeneous data centers, uniting different storage and network technologies as a single federated entity.
Rucio offers advanced features such as distributed data recovery or adaptive replication, and is highly scalable, modular, and extensible.
Rucio has been originally developed to meet the requirements of the high-energy physics experiment ATLAS, and is continuously extended to support LHC experiments and other diverse scientific communities.
Documentation
General information, API/REST description and guides can be found in our documentation or on our webpage.
Try it out
We provide a dockerized environment which serves both as a demo environment and a development environment.
It includes all the necessary preconfigured components for multiple storage and transfers developments.
Developers
For information on how to contribute to Rucio, please refer and follow our CONTRIBUTING guidelines. We strongly recommend to use the dockerized environment for development.
Responsible for PR merging in rucio/rucio: Martin Barisits, Dimitrios Christidis
Operators
To learn how to deploy and configure Rucio, consult the documentation available online.
Getting Support
If you are looking for support, please contact us via one of our official channels.
About
Rucio - Scientific Data Management
rucio.cern.ch
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
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