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Portable network interface information.

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Linux/macOS

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Build Status (Windows)

1. What is this?

It’s been annoying me for some time that there’s no easy way to get the address(es) of the machine’s network interfaces from Python. There is a good reason for this difficulty, which is that it is virtually impossible to do so in a portable manner. However, it seems to me that there should be a package you can easy_install that will take care of working out the details of doing so on the machine you’re using, then you can get on with writing Python code without concerning yourself with the nitty gritty of system-dependent low-level networking APIs.

This package attempts to solve that problem.

2. How do I use it?

First you need to install it, which you can do by typing:

tar xvzf netifaces-0.10.8.tar.gz
cd netifaces-0.10.8
python setup.py install

Note that you will need the relevant developer tools for your platform, as netifaces is written in C and installing this way will compile the extension.

Once that’s done, you’ll need to start Python and do something like the following:

>>> import netifaces

Then if you enter

>>> netifaces.interfaces()
['lo0', 'gif0', 'stf0', 'en0', 'en1', 'fw0']

you’ll see the list of interface identifiers for your machine.

You can ask for the addresses of a particular interface by doing

>>> netifaces.ifaddresses('lo0')
{18: [{'addr': ''}], 2: [{'peer': '127.0.0.1', 'netmask': '255.0.0.0', 'addr': '127.0.0.1'}], 30: [{'peer': '::1', 'netmask': 'ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff', 'addr': '::1'}, {'peer': '', 'netmask': 'ffff:ffff:ffff:ffff::', 'addr': 'fe80::1%lo0'}]}

Hmmmm. That result looks a bit cryptic; let’s break it apart and explain what each piece means. It returned a dictionary, so let’s look there first:

{ 18: [...], 2: [...], 30: [...] }

Each of the numbers refers to a particular address family. In this case, we have three address families listed; on my system, 18 is AF_LINK (which means the link layer interface, e.g. Ethernet), 2 is AF_INET (normal Internet addresses), and 30 is AF_INET6 (IPv6).

But wait! Don’t use these numbers in your code. The numeric values here are system dependent; fortunately, I thought of that when writing netifaces, so the module declares a range of values that you might need. e.g.

>>> netifaces.AF_LINK
18

Again, on your system, the number may be different.

So, what we’ve established is that the dictionary that’s returned has one entry for each address family for which this interface has an address. Let’s take a look at the AF_INET addresses now:

>>> addrs = netifaces.ifaddresses('lo0')
>>> addrs[netifaces.AF_INET]
[{'peer': '127.0.0.1', 'netmask': '255.0.0.0', 'addr': '127.0.0.1'}]

You might be wondering why this value is a list. The reason is that it’s possible for an interface to have more than one address, even within the same family. I’ll say that again: you can have more than one address of the same type associated with each interface.

Asking for “the” address of a particular interface doesn’t make sense.

Right, so, we can see that this particular interface only has one address, and, because it’s a loopback interface, it’s point-to-point and therefore has a peer address rather than a broadcast address.

Let’s look at a more interesting interface.

>>> addrs = netifaces.ifaddresses('en0')
>>> addrs[netifaces.AF_INET]
[{'broadcast': '10.15.255.255', 'netmask': '255.240.0.0', 'addr': '10.0.1.4'}, {'broadcast': '192.168.0.255', 'addr': '192.168.0.47'}]

This interface has two addresses (see, I told you…) Both of them are regular IPv4 addresses, although in one case the netmask has been changed from its default. The netmask may not appear on your system if it’s set to the default for the address range.

Because this interface isn’t point-to-point, it also has broadcast addresses.

Now, say we want, instead of the IP addresses, to get the MAC address; that is, the hardware address of the Ethernet adapter running this interface. We can do

>>> addrs[netifaces.AF_LINK]
[{'addr': '00:12:34:56:78:9a'}]

Note that this may not be available on platforms without getifaddrs(), unless they happen to implement SIOCGIFHWADDR. Note also that you just get the address; it’s unlikely that you’ll see anything else with an AF_LINK address. Oh, and don’t assume that all AF_LINK addresses are Ethernet; you might, for instance, be on a Mac, in which case:

>>> addrs = netifaces.ifaddresses('fw0')
>>> addrs[netifaces.AF_LINK]
[{'addr': '00:12:34:56:78:9a:bc:de'}]

No, that isn’t an exceptionally long Ethernet MAC address—it’s a FireWire address.

As of version 0.10.0, you can also obtain a list of gateways on your machine:

>>> netifaces.gateways()
{2: [('10.0.1.1', 'en0', True), ('10.2.1.1', 'en1', False)], 30: [('fe80::1', 'en0', True)], 'default': { 2: ('10.0.1.1', 'en0'), 30: ('fe80::1', 'en0') }}

This dictionary is keyed on address family—in this case, AF_INET—and each entry is a list of gateways as (address, interface, is_default) tuples. Notice that here we have two separate gateways for IPv4 (AF_INET); some operating systems support configurations like this and can either route packets based on their source, or based on administratively configured routing tables.

For convenience, we also allow you to index the dictionary with the special value 'default', which returns a dictionary mapping address families to the default gateway in each case. Thus you can get the default IPv4 gateway with

>>> gws = netifaces.gateways()
>>> gws['default'][netifaces.AF_INET]
('10.0.1.1', 'en0')

Do note that there may be no default gateway for any given address family; this is currently very common for IPv6 and much less common for IPv4 but it can happen even for AF_INET.

BTW, if you’re trying to configure your machine to have multiple gateways for the same address family, it’s a very good idea to check the documentation for your operating system very carefully, as some systems become extremely confused or route packets in a non-obvious manner.

I’m very interested in hearing from anyone (on any platform) for whom the gateways() method doesn’t produce the expected results. It’s quite complicated extracting this information from the operating system (whichever operating system we’re talking about), and so I expect there’s at least one system out there where this just won’t work.

3. This is great! What platforms does it work on?

It gets regular testing on OS X, Linux and Windows. It has also been used successfully on Solaris, and it’s expected to work properly on other UNIX-like systems as well. If you are running something that is not supported, and wish to contribute a patch, please use Github to send a pull request.

4. What license is this under?

It’s an MIT-style license. See LICENSE.

5. Why the jump to 0.10.0?

Because someone released a fork of netifaces with the version 0.9.0. Hopefully skipping the version number should remove any confusion. In addition starting with 0.10.0 Python 3 is now supported and other features/bugfixes have been included as well. See the CHANGELOG for a more complete list of changes.

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SHA256 283292d6bb5396dc590e4b6a820c3e1d4be0216623463cb781cd82a63d763727
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SHA256 d874430829871509f149dba1125d6de40644d56462c7ef62d6710be660756cab
MD5 37a13607461d7aabb667c0e57177ca30
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SHA256 3fdcf74c6238472be2b500ea6628e71db79f90be8bb8227dae3ff24cae1ac8ed
MD5 d56d7fc78467bc5074d4290dff83f522
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Algorithm Hash digest
SHA256 6fbbfcdce92c20f5b5667ca835666ddb01b8407b4426eec993939f969bd4fdf6
MD5 077060c740bdf6857f88797648858530
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SHA256 7a81b2f8b1af4e7e29fd733b10d30c0103c9b0a13524a25638c9ba24a9bbc3ac
MD5 ff907e67e8c8c16c53649ded67fe9459
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SHA256 9f36e9f88d51c242e7bef9c3ea2597c6bb951dfbd53222ffe4379bdcc6080ae0
MD5 421a773b1e186a0976289f1e5e1536f8
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SHA256 64dc43725c80a0ce279c83ca66cc63ed0df9438563a5053f78dd225bc2b72b2d
MD5 8eb792424cf656f37d7380c48ffc9e26
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SHA256 34c70c95ce5494f44063536d04191146ef3b6e8eece5dda89f56caa78657371e
MD5 64ff0188ec6e0189f7dbdcffc08eaa34
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SHA256 a5bc32e34252b6deff04c17cb822376dde2a39548a808bd194866e7f8d8dcbb3
MD5 0041b1fc16df99673c0396b3a686dc09
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SHA256 3205327f20c7c78ff72949579533e62dda1de335d982fff27f1c7652f5ee50b2
MD5 d558c30db38e240b83fc76652ad22c70
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SHA256 707da331399eaf04e8835d18189cbf863c7cd4361a2255b27c0746eb900a81b7
MD5 dd3e34b5a4bd18aff79bf4cb4d118442
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SHA256 22c81723c01dd464cd6d3d98a53dd25f9a420be45fda612348b7f47a2b7aa225
MD5 11cb327e09efe8fa7bf691f4f53d7962
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SHA256 86f139ea4438db9ca771dd12238f6a0a06647f038f34b904c4fd991222f53d20
MD5 e6c9e1059298f8f67be5ad53ec721e43
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SHA256 134d3156671ec4307d72574cdf770f3ca823c05be41eeb64740b73a21ce1b227
MD5 ca4403b4d4c1ee816bce9def6dcbce2b
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Algorithm Hash digest
SHA256 c2fc9b06b5680b256f1f61da509ae3de79d632300738caad001a3101cf3b9583
MD5 9662d271356678548d1ad9abd3df21b4
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SHA256 b23b14f2d5b738bd809b07bfca3bcd06c435b9aab9bb3056492ca073a71bbdf4
MD5 dfd93af09c4b0aec684471138e9c99e5
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SHA256 bea2f1c294befc747f77c0ad40f7866f610dde81267ed32736b72e0bdbe8cfc0
MD5 03a2f1a3c823e4b521fc4230f9ebb6ae
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SHA256 6760e65d77dc8dab11a40f94f91f67395c49099f85047402869a5d65e995e902
MD5 218e59af8e90a9a3b734fa37904ba4bc
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SHA256 bcd473931db4a78c0348fab192c670213cca3c68f20ee52f6b00a60973fb4e56
MD5 8edca41fff9714d8d4c8d6cfa41aee72
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SHA256 ce578087fb7a528f13d6adef9ecee18a7fe71e3c1421da0972cef793c9a0594d
MD5 8732dba93ba5a2465f76f3072ce5bdd9
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SHA256 90f69eead637932222ef0630fa8b182de65f2cc04904b9cb4d5f8341fb8b3c43
MD5 fa4e5eeadfbb5dc50f3ce171192cedd6
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SHA256 d54a35ce22e1c0ae614d3ab8823bbbd75b8f0e74c9b151fb774cbfee065ace1e
MD5 54285ae9cdc54a26adbdd573fe28d4a9
BLAKE2b-256 320ff0ea635ec885471b8c0ffb32f2bdeb22f257ba0e10973086fa886b900461

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Algorithm Hash digest
SHA256 4cb28ab40233bd1b6b25e84dd06a3cdd6868cf83422096071b61bb3381f13dd6
MD5 8eaf04b892e9882895a809f64739d6b4
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Algorithm Hash digest
SHA256 98a0f03d6910f1d70aed7d906a40d27adf539033f34904b0b9d649311fa3a54c
MD5 3d524bf916cc0c48344028a24fd0835e
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SHA256 c29efa9d216101c376c8be6a5fe39c395a1f9879f54d14716a33930d7001bf98
MD5 d32c3e0aa61feaca86be77dfedd7b736
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SHA256 7b635cb51c93b747d762857d034c11c77bf460112255958c9dcc6c2cc603ca7d
MD5 0e2cb610323599386cd577dc1a66ec9d
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SHA256 0fa967911cad0162e7113f0a450c6bb335228742dd33aa7fe4039db315985b56
MD5 2f29a671bf99b9f3bbc3344d6fb6a17f
BLAKE2b-256 1197cf07e0cc62a9e2477dd7f5b42f1e30770406194eed63379038f39a7541a6

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SHA256 22fda29764481f6a03509b731e8e5e24d9692f0edec77424cd96f56f9a8cc929
MD5 ef414fc6faaf6b862f6643ac074ec5df
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SHA256 489be1456f92a66a842d3be74530db16ab4ae4fe0a887cb32a9710e68e8eaa5e
MD5 fe189a380518de7aab8aae23fa6c6f7c
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SHA256 ad1a691c9c0e86937b9c340d86dfaeb6c29af4e5aae8db28a2ab1f91148ee042
MD5 d4a9c27586cc962c36e59cb58b0a93dc
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SHA256 a7e738961521aef4778237f0979eecab2e39887a64da3763a8f25e2603c9b39c
MD5 e064e9d57f81eaf467f90d64d2d1d464
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Algorithm Hash digest
SHA256 71b76ba9975d7ff77ce984b64cb863e4852997727739cea0389071148141306d
MD5 536780f91c8447595908cf225ac2c5ab
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SHA256 065a0859abdeafa90a440372c81836f59c65d3a63e307d793ff8d02d219f1faf
MD5 6f42113e3621964b24df51501f72813a
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SHA256 f3b3c68bac2b1235bbcea71608e080b5d2d590c52f6338bba389a3d00e094f1d
MD5 705a20a4b1a57be79b6509503e101bea
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SHA256 87426d68fc53ff7c99e4994a03e640731b4551b3806debe9034cf372b01c92b7
MD5 ce36adbe031210f97aeee084c3f44bd5
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SHA256 28351de5bf30432d8723cebe31bb09139500212db8ad08497b3e1d789180e303
MD5 e75a77ff9423d3e789b27b3dccf3a7ae
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