| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/djcelery/management/commands/celerybeat.py |
| FileSize | 594 |
| MD5 | 8CD98C527971331B0527BFD560543EB7 |
| SHA-1 | 2CB6D42D2D6F477816F58516639E539612DCB066 |
| SHA-256 | EE9EBD6D2DAB2ED6FFE4DC797D015ABAA02F5D5154C2A11E423F731A45C0B733 |
| SSDEEP | 12:D/rjCwa4JzKdR7l6iUlSxLHGIGLHrlMKb0y4jm:7r26Q52hHrqKr |
| TLSH | T1ABF0811660BE4F5613FF95D79051219461B2574B0FA2112A743CAFA07F71C4DC6C79DC |
| hashlookup:parent-total | 16 |
| hashlookup:trust | 100 |
The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | 23DF4197B35F85CB4A1C44E11EDC6D31 |
| PackageArch | noarch |
| PackageDescription | django-celery provides Celery integration for Django; Using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and more. Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). |
| PackageMaintainer | Fedora Project |
| PackageName | python-django-celery |
| PackageRelease | 2.fc21 |
| PackageVersion | 3.1.9 |
| SHA-1 | 25B14A68D2C95DA2DA84151461C23137233FF451 |
| SHA-256 | 5874351830AAD386DFE07F4E0E3E779BD1B9235FEAF93D1766F5A18A9E1010D3 |
| Key | Value |
|---|---|
| FileSize | 45448 |
| MD5 | 9B2FD6F42B041DB1E1F6A58EBCD27177 |
| PackageDescription | Celery integration for Django Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-django-celery |
| PackageSection | python |
| PackageVersion | 3.1.16-2 |
| SHA-1 | 293946CAEB82E3AFFCE92DBE5CDFC6C6855E3FC1 |
| SHA-256 | 02E8724FA21CF63FC5CFC7E9D426D99392BEE548A874D2E0F1941FF0A9F03DC1 |
| Key | Value |
|---|---|
| FileSize | 49338 |
| MD5 | 7894D9E6866A13AB3DCA057E9E772A9E |
| PackageDescription | Celery integration for Django Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. |
| PackageMaintainer | Debian Python Modules Team <python-modules-team@lists.alioth.debian.org> |
| PackageName | python3-django-celery |
| PackageSection | python |
| PackageVersion | 3.1.16-1 |
| SHA-1 | 2B19E41703C82173BFA53853B2AE407152149D7F |
| SHA-256 | EADB87456E25ACD1AFAC33C1A3DA527C4A72F322210E78281F2A19D611BFFDE5 |
| Key | Value |
|---|---|
| MD5 | 78DF264415299EAED56EC3B2F8673D93 |
| PackageArch | noarch |
| PackageDescription | django-celery provides Celery integration for Django; Using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and more. Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). |
| PackageMaintainer | Fedora Project |
| PackageName | python-django-celery |
| PackageRelease | 2.fc21 |
| PackageVersion | 3.1.9 |
| SHA-1 | 391A6CC4A588C79C450F852B2E09057A87E1087D |
| SHA-256 | 91DCBE9336A95088485BFA7DDD958354920FD3C04B291D5216BC67F7E3003BA5 |
| Key | Value |
|---|---|
| FileSize | 45108 |
| MD5 | DF73A21691CF797F27F2EDC08F813DC9 |
| PackageDescription | Celery integration for Django Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-django-celery |
| PackageSection | python |
| PackageVersion | 3.1.10-1 |
| SHA-1 | 3DCE98232FC09DE04CEA1C75F7CA372254000AE1 |
| SHA-256 | 2350FCB8D7B0998EE60F9CA199BC626C997F2302AA0305D287A05C9482CD00C6 |
| Key | Value |
|---|---|
| MD5 | 66E2B9900305C44EF1D8FCD04B227E93 |
| PackageArch | noarch |
| PackageDescription | django-celery provides Celery integration for Django; Using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and more. Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). |
| PackageMaintainer | Fedora Project |
| PackageName | python-django-celery |
| PackageRelease | 2.fc21 |
| PackageVersion | 3.1.9 |
| SHA-1 | 4A35F1BF99747BC1F50D1CFD8F4907D17C306096 |
| SHA-256 | EBC37B9DB0FD264C03C114EBFA21B9DD9EDA282D4775A99F39A3084A37F5253E |
| Key | Value |
|---|---|
| MD5 | 3DDA74C62CCA68A79B058EA95CAC58AF |
| PackageArch | noarch |
| PackageDescription | django-celery provides Celery integration for Django; Using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and more. Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). |
| PackageMaintainer | Fedora Project |
| PackageName | python-django-celery |
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| Key | Value |
|---|---|
| FileSize | 41354 |
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| PackageDescription | Celery integration for Django (Python3 version) Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. . This package contains the Python 3 version of the library. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python3-django-celery |
| PackageSection | python |
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| Key | Value |
|---|---|
| FileSize | 41116 |
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| PackageDescription | Celery integration for Django Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python3-django-celery |
| PackageSection | python |
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| Key | Value |
|---|---|
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| PackageArch | noarch |
| PackageDescription | django-celery provides Celery integration for Django; Using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and more. Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). |
| PackageMaintainer | Fedora Project |
| PackageName | python-django-celery |
| PackageRelease | 2.fc21 |
| PackageVersion | 3.1.9 |
| SHA-1 | 880B0487769326DBD1B738B7A6F7C0510CA5F672 |
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