ptdump
Cyrus mail system - common files
Install
- All systems
-
curl cmd.cat/ptdump.sh
- Debian
-
apt-get install cyrus-common-2.4
- Ubuntu
-
apt-get install python-tables
- Arch Linux
-
pacman -S python-pytables
- Kali Linux
-
apt-get install python3-tables
- CentOS
-
yum install cyrus-imapd
- Fedora
-
dnf install cyrus-imapd
- Windows (WSL2)
-
sudo apt-get update
sudo apt-get install python-tables
- Raspbian
-
apt-get install python-tables
- Dockerfile
- dockerfile.run/ptdump
cyrus-common
Cyrus mail system - common files
Cyrus is an IMAP server designed to handle massive quantities of mail, with a number of features not found in other IMAP implementations, including support for: - running the daemon without root privileges; - POP3 and NNTP in addition to plain IMAP; - CalDAV and CardDAV; - secure IMAP using SSL; - server-side filtering with Sieve; - mail users without login accounts; - simple mail quotas; - virtual domains; - IPv6. Cyrus doesn't support reading from and storing mail in the standard mail spool. It stores mail in a separate directory in its own MH-like format. This package contains the common files needed by the other Cyrus components. The cyrus-imapd and/or cyrus-pop3d packages are needed to enable IMAP and POP3 support respectively. cyrus-murder can be used to enable IMAP, POP3 and LMTP proxying. cyrus-replication can be used to provide server replication between two imap servers.
python3-tables
hierarchical database for Python3 based on HDF5
PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively save and retrieve very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that they take much less space (between a factor 3 to 5, and more if the data is compressible) than other solutions, like for example, relational or object oriented databases. - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy objects. This is the Python 3 version of the package.
python-tables
hierarchical database for Python based on HDF5
PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively save and retrieve very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that they take much less space (between a factor 3 to 5, and more if the data is compressible) than other solutions, like for example, relational or object oriented databases. - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy objects. This is the Python 2 version of the package.
cyrus-imapd-utils
utilities
cyrus-imapd
The cyrus-imapd package contains the core of the Cyrus IMAP
server. It is a scaleable enterprise mail system designed for use from small to large enterprise environments using standards-based internet mail technologies. A full Cyrus IMAP implementation allows a seamless mail and bulletin board environment to be set up across multiple servers. It differs from other IMAP server implementations in that it is run on "sealed" servers, where users are not normally permitted to log in and have no system account on the server. The mailbox database is stored in parts of the file system that are private to the Cyrus IMAP server. All user access to mail is through software using the IMAP, POP3 or KPOP protocols. It also includes support for virtual domains, NNTP, mailbox annotations, and much more. The private mailbox database design gives the server large advantages in efficiency, scalability and administratability. Multiple concurrent read/write connections to the same mailbox are permitted. The server supports access control lists on mailboxes and storage quotas on mailbox hierarchies. The Cyrus IMAP server supports the IMAP4rev1 protocol described in RFC 3501. IMAP4rev1 has been approved as a proposed standard. It supports any authentication mechanism available from the SASL library, imaps/pop3s/nntps (IMAP/POP3/NNTP encrypted using SSL and TLSv1) can be used for security. The server supports single instance store where possible when an email message is addressed to multiple recipients, SIEVE provides server side email filtering.
python-pytables
A package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data
cyrus-common-2.4
Cyrus mail system - common files [dummy package]
This package is empty transitional package and can be safely removed.