Ошибка no matching distribution found for

I am trying to install pip in my python 2.6.6, I have Oracle Linux 6

I followed the answers given at this link Link

I downloaded get-pip.py file and ran the following command

sudo python2.6 get-pip.py

However I get the following error

[root@bigdatadev3 Downloads]# sudo python2.6 get-pip.py
DEPRECATION: Python 2.6 is no longer supported by the Python core team, please upgrade your Python. A future version of pip will drop support for Python 2.6
Collecting pip
  Retrying (Retry(total=4, connect=None, read=None, redirect=None)) after connection broken by 'NewConnectionError('<pip._vendor.requests.packages.urllib3.connection.VerifiedHTTPSConnection object at 0x3cad210>: Failed to establish a new connection: [Errno 101] Network is unreachable',)': /simple/pip/
  Retrying (Retry(total=3, connect=None, read=None, redirect=None)) after connection broken by 'NewConnectionError('<pip._vendor.requests.packages.urllib3.connection.VerifiedHTTPSConnection object at 0x3cadad0>: Failed to establish a new connection: [Errno 101] Network is unreachable',)': /simple/pip/
  Retrying (Retry(total=2, connect=None, read=None, redirect=None)) after connection broken by 'NewConnectionError('<pip._vendor.requests.packages.urllib3.connection.VerifiedHTTPSConnection object at 0x3cad6d0>: Failed to establish a new connection: [Errno 101] Network is unreachable',)': /simple/pip/
  Retrying (Retry(total=1, connect=None, read=None, redirect=None)) after connection broken by 'NewConnectionError('<pip._vendor.requests.packages.urllib3.connection.VerifiedHTTPSConnection object at 0x3cad790>: Failed to establish a new connection: [Errno 101] Network is unreachable',)': /simple/pip/
  Retrying (Retry(total=0, connect=None, read=None, redirect=None)) after connection broken by 'NewConnectionError('<pip._vendor.requests.packages.urllib3.connection.VerifiedHTTPSConnection object at 0x3cad110>: Failed to establish a new connection: [Errno 101] Network is unreachable',)': /simple/pip/
  Could not find a version that satisfies the requirement pip (from versions: )
No matching distribution found for pip

The error shows some network issue, but I have full open internet access here.

How can I install pip?

I also tried yum, yum install python-pip but it gave the following message

[root@bigdatadev3 ~]# yum install python-pip
Loaded plugins: refresh-packagekit, security, ulninfo
Setting up Install Process
No package python-pip available.
Error: Nothing to do

Update 1:

I used the following command,

python get-pip.py --proxy="MY_PROXY"

I get the following error

DEPRECATION: Python 2.6 is no longer supported by the Python core team, please upgrade your Python. A future version of pip will drop support for Python 2.6
    Collecting pip
    Exception:
    Traceback (most recent call last):
      File "/tmp/tmpnz7ISh/pip.zip/pip/basecommand.py", line 215, in main
        status = self.run(options, args)
      File "/tmp/tmpnz7ISh/pip.zip/pip/commands/install.py", line 324, in run
        requirement_set.prepare_files(finder)
      File "/tmp/tmpnz7ISh/pip.zip/pip/req/req_set.py", line 380, in prepare_files
        ignore_dependencies=self.ignore_dependencies))
      File "/tmp/tmpnz7ISh/pip.zip/pip/req/req_set.py", line 554, in _prepare_file
        require_hashes
      File "/tmp/tmpnz7ISh/pip.zip/pip/req/req_install.py", line 278, in populate_link
        self.link = finder.find_requirement(self, upgrade)
      File "/tmp/tmpnz7ISh/pip.zip/pip/index.py", line 465, in find_requirement
        all_candidates = self.find_all_candidates(req.name)
      File "/tmp/tmpnz7ISh/pip.zip/pip/index.py", line 423, in find_all_candidates
        for page in self._get_pages(url_locations, project_name):
      File "/tmp/tmpnz7ISh/pip.zip/pip/index.py", line 568, in _get_pages
        page = self._get_page(location)
      File "/tmp/tmpnz7ISh/pip.zip/pip/index.py", line 683, in _get_page
        return HTMLPage.get_page(link, session=self.session)
      File "/tmp/tmpnz7ISh/pip.zip/pip/index.py", line 792, in get_page
        "Cache-Control": "max-age=600",
      File "/tmp/tmpnz7ISh/pip.zip/pip/_vendor/requests/sessions.py", line 488, in get
        return self.request('GET', url, **kwargs)
      File "/tmp/tmpnz7ISh/pip.zip/pip/download.py", line 386, in request
        return super(PipSession, self).request(method, url, *args, **kwargs)
      File "/tmp/tmpnz7ISh/pip.zip/pip/_vendor/requests/sessions.py", line 475, in request
        resp = self.send(prep, **send_kwargs)
      File "/tmp/tmpnz7ISh/pip.zip/pip/_vendor/requests/sessions.py", line 596, in send
        r = adapter.send(request, **kwargs)
      File "/tmp/tmpnz7ISh/pip.zip/pip/_vendor/cachecontrol/adapter.py", line 47, in send
        resp = super(CacheControlAdapter, self).send(request, **kw)
      File "/tmp/tmpnz7ISh/pip.zip/pip/_vendor/requests/adapters.py", line 390, in send
        conn = self.get_connection(request.url, proxies)
      File "/tmp/tmpnz7ISh/pip.zip/pip/_vendor/requests/adapters.py", line 290, in get_connection
        proxy_manager = self.proxy_manager_for(proxy)
      File "/tmp/tmpnz7ISh/pip.zip/pip/_vendor/requests/adapters.py", line 184, in proxy_manager_for
        **proxy_kwargs
      File "/tmp/tmpnz7ISh/pip.zip/pip/_vendor/requests/adapters.py", line 43, in SOCKSProxyManager
        raise InvalidSchema("Missing dependencies for SOCKS support.")
    InvalidSchema: Missing dependencies for SOCKS support.

You receive the error ERROR: No matching distribution found for when you deploy an app on Streamlit Community Cloud.

This error occurs when you deploy an app on Streamlit Community Cloud and have one or more of the following issues with your Python dependencies in your requirements file:

  1. The package is part of the Python Standard Library. E.g. You will see ERROR: No matching distribution found for base64 if you include base64 in your requirements file, as it is part of the Python Standard Library. The solution is to not include the package in your requirements file. Only include packages in your requirements file that are not distributed with a standard Python installation.
  2. The package name in your requirements file is misspelled. Double-check the package name before including it in your requirements file.
  3. The package does not support the operating system on which your Streamlit app is running. E.g. You see ERROR: No matching distribution found for pywin32 while deploying to Streamlit Community Cloud. The pywin32 module provides access to many of the Windows APIs from Python. Apps deployed to Streamlit Community Cloud are executed in a Linux environment. As such, pywin32 fails to install on non-Windows systems, including on Streamlit Community Cloud. The solution is to either exclude pywin32 from your requirements file, or deploy your app on a cloud service offering Windows machines.

Related forum posts:

  • https://discuss.streamlit.io/t/error-no-matching-distribution-found-for-base64/15758
  • https://discuss.streamlit.io/t/error-could-not-find-a-version-that-satisfies-the-requirement-pywin32-301-from-versions-none/15343/2
editSuggest edits

Does it mean that a private package which has a dependent package on pypi doesn’t work?
(i.e. pipenv will only see one index url. If a private package depends on a package on pypi, the dependent package cannot be installed because pipenv see only see private index which is not a pypi..)

@masato-yasuda No this seems to work fine, since in the example of torch repositories, the are in a private repository and pull in other dependencies from pypi. Here is a sample Pipfile.lock I generated:

{
    "_meta": {
        "hash": {
            "sha256": "b5ad2e9ab98f4d253629a73ed721b21a23453d4ddc77b2df9fd52d607cc03946"
        },
        "pipfile-spec": 6,
        "requires": {
            "python_version": "3.10"
        },
        "sources": [
            {
                "name": "pypi",
                "url": "https://pypi.org/simple",
                "verify_ssl": true
            },
            {
                "name": "downloadpytorch",
                "url": "https://download.pytorch.org/whl/",
                "verify_ssl": true
            }
        ]
    },
    "default": {
        "certifi": {
            "hashes": [
                "sha256:78884e7c1d4b00ce3cea67b44566851c4343c120abd683433ce934a68ea58872",
                "sha256:d62a0163eb4c2344ac042ab2bdf75399a71a2d8c7d47eac2e2ee91b9d6339569"
            ],
            "version": "==2021.10.8"
        },
        "charset-normalizer": {
            "hashes": [
                "sha256:2857e29ff0d34db842cd7ca3230549d1a697f96ee6d3fb071cfa6c7393832597",
                "sha256:6881edbebdb17b39b4eaaa821b438bf6eddffb4468cf344f09f89def34a8b1df"
            ],
            "markers": "python_version >= '3'",
            "version": "==2.0.12"
        },
        "colorama": {
            "hashes": [
                "sha256:5941b2b48a20143d2267e95b1c2a7603ce057ee39fd88e7329b0c292aa16869b",
                "sha256:9f47eda37229f68eee03b24b9748937c7dc3868f906e8ba69fbcbdd3bc5dc3e2"
            ],
            "markers": "platform_system == 'Windows'",
            "version": "==0.4.4"
        },
        "idna": {
            "hashes": [
                "sha256:84d9dd047ffa80596e0f246e2eab0b391788b0503584e8945f2368256d2735ff",
                "sha256:9d643ff0a55b762d5cdb124b8eaa99c66322e2157b69160bc32796e824360e6d"
            ],
            "markers": "python_version >= '3'",
            "version": "==3.3"
        },
        "numpy": {
            "hashes": [
                "sha256:07a8c89a04997625236c5ecb7afe35a02af3896c8aa01890a849913a2309c676",
                "sha256:08d9b008d0156c70dc392bb3ab3abb6e7a711383c3247b410b39962263576cd4",
                "sha256:201b4d0552831f7250a08d3b38de0d989d6f6e4658b709a02a73c524ccc6ffce",
                "sha256:2c10a93606e0b4b95c9b04b77dc349b398fdfbda382d2a39ba5a822f669a0123",
                "sha256:3ca688e1b9b95d80250bca34b11a05e389b1420d00e87a0d12dc45f131f704a1",
                "sha256:48a3aecd3b997bf452a2dedb11f4e79bc5bfd21a1d4cc760e703c31d57c84b3e",
                "sha256:568dfd16224abddafb1cbcce2ff14f522abe037268514dd7e42c6776a1c3f8e5",
                "sha256:5bfb1bb598e8229c2d5d48db1860bcf4311337864ea3efdbe1171fb0c5da515d",
                "sha256:639b54cdf6aa4f82fe37ebf70401bbb74b8508fddcf4797f9fe59615b8c5813a",
                "sha256:8251ed96f38b47b4295b1ae51631de7ffa8260b5b087808ef09a39a9d66c97ab",
                "sha256:92bfa69cfbdf7dfc3040978ad09a48091143cffb778ec3b03fa170c494118d75",
                "sha256:97098b95aa4e418529099c26558eeb8486e66bd1e53a6b606d684d0c3616b168",
                "sha256:a3bae1a2ed00e90b3ba5f7bd0a7c7999b55d609e0c54ceb2b076a25e345fa9f4",
                "sha256:c34ea7e9d13a70bf2ab64a2532fe149a9aced424cd05a2c4ba662fd989e3e45f",
                "sha256:dbc7601a3b7472d559dc7b933b18b4b66f9aa7452c120e87dfb33d02008c8a18",
                "sha256:e7927a589df200c5e23c57970bafbd0cd322459aa7b1ff73b7c2e84d6e3eae62",
                "sha256:f8c1f39caad2c896bc0018f699882b345b2a63708008be29b1f355ebf6f933fe",
                "sha256:f950f8845b480cffe522913d35567e29dd381b0dc7e4ce6a4a9f9156417d2430",
                "sha256:fade0d4f4d292b6f39951b6836d7a3c7ef5b2347f3c420cd9820a1d90d794802",
                "sha256:fdf3c08bce27132395d3c3ba1503cac12e17282358cb4bddc25cc46b0aca07aa"
            ],
            "markers": "python_version >= '3.8'",
            "version": "==1.22.3"
        },
        "requests": {
            "hashes": [
                "sha256:68d7c56fd5a8999887728ef304a6d12edc7be74f1cfa47714fc8b414525c9a61",
                "sha256:f22fa1e554c9ddfd16e6e41ac79759e17be9e492b3587efa038054674760e72d"
            ],
            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
            "version": "==2.27.1"
        },
        "torch": {
            "hashes": [
                "sha256:6c66502d4e30464abd8ede9b00ef85ac7eaf569bdf53663375a0ed3f49c4f1e5"
            ],
            "version": "==1.11.0+cu115"
        },
        "torchtext": {
            "hashes": [
                "sha256:09a047a90615febb5280bb39f69e89de515212d8d0f75b85e5ad474221f1744a",
                "sha256:174bc6b33d77d9eebbae473f98389183a0c269c68416372ca614b12cfa326969",
                "sha256:1845c480fe47c641816d770efac3a32fb927673d46b00c062a2ec377bc312cdc",
                "sha256:1db04814d0289429bebd776707ea58d251166f56cc8298956101534a20f0a5cd",
                "sha256:21b6b5a00000ad9dfa09d984a1a7b7cdd79c8310c2a780e672cdf95a2bc26c1b",
                "sha256:24b34a1b857aeef8d0c6e7b3ed2d9230d0a36df5bdb9dd5262b018675b739306",
                "sha256:2ea13e79b02d226adb122ecc8f9648c768e0b683e32fd8b3c0c0c22e8661ed6f",
                "sha256:2ecd9a32064ea5caf78c7e4843719ecabe100066b32df8d228a6f2ba6bc5ea8b",
                "sha256:365e5f640e29d2fc924cc274f024ee02e49e680b5a6d10d4d7ccdd1665b73120",
                "sha256:36a8c9d6ddbfb70904f15caade91f8deb28b35c2693347853f1bea7f65f00b40",
                "sha256:391dd25cc426ade637da7297e6d72eaf5efc5fa13a4e25cf2fa5d93119bb176b",
                "sha256:59912472689e5734ccdd134a0352e46bb36cecd3d59b323e097474f4c4e4bf9a",
                "sha256:63d9b6e94af6092c472c77e26cf466599eccc1e3a0facc59c87d7611b5afcda6",
                "sha256:66792b1e6d3929944a8d47ad371c71de07a4023f5692385ba7e50c61e111f2f2",
                "sha256:87530abac557e9702d41edd89c94ccbc4871d43c0f479af97ae3342836e875ec",
                "sha256:8bbf5649e4dc691535920437c09017fcab7cfed7125ed0cfe1e1a3bbe792ab93",
                "sha256:af04961985c419579662e703243fa592d74fc44e2863a44c23214b377cf426d8",
                "sha256:b7fa7557fe5542b58c09abb4bf14e0c6ed6afe653606e318080ba0718d3e1eda",
                "sha256:bce2a8f6f3a82974b950ee526640b3f747e7bade32b92d0747687bfe76af8d81"
            ],
            "index": "downloadpytorch",
            "version": "==0.12.0"
        },
        "tqdm": {
            "hashes": [
                "sha256:4230a49119a416c88cc47d0d2d32d5d90f1a282d5e497d49801950704e49863d",
                "sha256:6461b009d6792008d0000e1b0c7ca50195ec78c0e808a3a6b668a56a3236c3a5"
            ],
            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
            "version": "==4.63.1"
        },
        "typing-extensions": {
            "hashes": [
                "sha256:1a9462dcc3347a79b1f1c0271fbe79e844580bb598bafa1ed208b94da3cdcd42",
                "sha256:21c85e0fe4b9a155d0799430b0ad741cdce7e359660ccbd8b530613e8df88ce2"
            ],
            "markers": "python_version >= '3.6'",
            "version": "==4.1.1"
        },
        "urllib3": {
            "hashes": [
                "sha256:44ece4d53fb1706f667c9bd1c648f5469a2ec925fcf3a776667042d645472c14",
                "sha256:aabaf16477806a5e1dd19aa41f8c2b7950dd3c746362d7e3223dbe6de6ac448e"
            ],
            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' and python_version < '4'",
            "version": "==1.26.9"
        }
    },
    "develop": {}
}

“No matching distribution found for ipykernel” is an error message that can occur when attempting to install the ipykernel package in Python. We encounter this error message when the package cannot be found in the specified repository. It can also occur when the package version is not compatible with the current version of Python. This issue can occur in both Jupyter Notebook and command line interfaces. It can be a frustrating obstacle for those looking to use the ipykernel package for their projects.

What is ipykernel package?

The ipykernel package is a Jupyter kernel for the Python programming language. It allows users to run Python code in Jupyter Notebook. The package is used to create and manage Python kernels in Jupyter Notebook. It is also a necessary component for running Python code in this environment.

Causes and solutions for the error “No matching distribution found for ipykernel”

1. Mismatch in the version of python and ipykernel

One common cause of the “No matching distribution found for ipykernel” error is a mismatch between the version of Python being used and the version of the ipykernel package that is being installed. For example, if the current version of Python is 3.8, and the ipykernel package being installed is only compatible with Python 3.6, this error will occur.

Solution

To resolve this issue, users can either install a version of the ipykernel package that is compatible with their current version of Python or update their version of Python to match the compatibility of the ipykernel package.

2. Outdated version of pip

Another cause of the “No matching distribution found for ipykernel” error is an outdated version of pip, the package installer for Python. Pip is the tool to install packages in Python, and if it is not up-to-date, it may not be able to find the correct version of the ipykernel package.

Solution

To resolve this issue, users can update pip by running the following command in their command line interface:

pip install --upgrade pip

3. Installing ipykernel in a virtual environment

Additionally, some users may encounter this error message if they are trying to install the ipykernel package in a virtual environment. Virtual environments are isolated Python environments that allow users to install packages and dependencies without affecting the global Python installation.

Solution

When installing packages in a virtual environment, it is necessary to specify the environment using the -m flag like so

python -m ipykernel install --user

4. When Python environment not on the system PATH

Another situation that might cause this error is when the python environment is not in the system path. This can happen when a different version of python is on the system that is not present in the system path.

Solution

To resolve this issue, users can add the path to the python environment in the system path or run the command prompt as an administrator and try installing the package again.

5. Installing ipykernel behind corporate firewall

Sometimes, users may also see this error message when they are trying to install the ipykernel package behind a corporate firewall. In this case, the firewall may be blocking access to the package repository, and the installation will fail.

Solution

To resolve this issue, users can try installing the package using a proxy server or contact their IT department for assistance.

[Solved] typeerror: unsupported format string passed to list.__format__

6. Ipykernel not available in the desired repository

Another common cause of the “no matching distribution found for ipykernel” error is that the package is not available on the specified repository. By default, pip installs packages from the Python Package Index (PyPI), but some packages may not be available on this repository.

Solution

In this case, you may need to specify a different repository to install the package from. For example, if you are trying to install the ipykernel package using pip and encounter the error message “no matching distribution found for ipykernel”, you can try specifying the Anaconda repository using the following command:

pip install --index-url=https://pypi.anaconda.org/ipykernel/simple ipykernel

7. Lack of permissions

Additionally, sometimes the error occurs due to lack of permissions. If you are trying to install the package in a system-wide location or a virtual environment that you do not have permission to write to, you will encounter the “no matching distribution found for ipykernel” error.

Solution

o resolve this issue, you will need to install the package in a location that you have permission to write to, such as your user’s home directory. You can do this by using the –user flag when installing the package with pip. For example:

pip install --user ipykernel

8. Ipykernel not compatible with Jupyter

Another common cause of the “no matching distribution found for ipykernel” error is that the package is not compatible with the version of Jupyter that is currently in use. Jupyter and ipykernel are two separate projects and have different release schedules. The version of Jupyter you have installed may not be compatible with the version of ipykernel you are installing.

Solution

To resolve this issue, you will need to make sure that you have the correct version of Jupyter installed for the version of ipykernel that you are trying to use.

Error no matching distribution found for jupyterlab

“Struggling with the “error no matching distribution found for jupyterlab”? You’re not alone! This error message occurs when trying to install JupyterLab using pip and means that the package you’re trying to install is not available in the Python Package Index (PyPI).

But don’t let this error hold you back. Here’s how you can solve it:

  1. Check your pip version: Make sure you have the latest version of pip installed by running pip --version. If you don’t, update it by running pip install --upgrade pip.
  2. Try installing a specific version of JupyterLab: You can try installing a specific version of JupyterLab by using the == operator, like so: pip install jupyterlab==3.0.0.
  3. Install JupyterLab using conda: If the above steps don’t work, try installing JupyterLab using conda by running conda install jupyterlab.

These steps should help you solve the “error no matching distribution found for jupyterlab” and get JupyterLab installed and running in no time!

FAQs

Can I still use Jupyter Notebook even after getting this error?

Yes, you can still use Jupyter even if you receive the “no matching distribution found for ipykernel” error.

How to install ipykernel in Anaconda?

Use conda install -c anaconda ipykernel to install Ipykernal in anaconda.

Conclusions

In conclusion, the “no matching distribution found for ipykernel” error can occur due to a variety of issues. By understanding the causes of this error and using the appropriate solutions, developers can quickly and easily resolve this issue and get back.

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In this article, we have presented the reason behind the error «No matching distribution found for TensorFlow using pip» along with 3 approaches to fix it.

Command used:

pip install tensorflow --user

Error:

Collecting tensorflow
Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow

Table of contents:

  1. Reason behind the error
  2. Fix 1: Install wheel file directly
  3. Fix 2: Update Python and Pip
  4. Fix 3: Build TensorFlow from source

Reason behind the error

The reason behind the issue will be that the Python installed on your system does not have a corresponding TensorFlow.

Through pip, TensorFlow only supports specific Python version and cases such as:

  • 64-bit system
  • Python version 3.7 to 3.10
  • Ubuntu 16.04 and later versions
  • Windows 7 and later version (with C++)

So, if your system has 32-bit version of Python or a lower version of Python or an older Ubuntu version, then you will face this error.

Different TensorFlow have different dependencies. For example, TensorFlow version 1.12.0 works with Python version 3.5.2 only while TensorFlow version 2.10.0 requires Python version 3.8+.

Fix 1: Install wheel file directly

If you have a pre-built wheel file that matches your system’s Python and pip version, you can install the wheel file directly.

python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-2.10.0-py3-none-any.whl

Fix 2: Update Python and Pip

Installing TensorFlow using pip requires you to have 64-bit version of Python version 3.5 to 3.8 and pip version 8.1 and above.

If you have a lower version, upgrading Python and pip will fix the problem.

pip install --upgrade pip

Fix 3: Build TensorFlow from source

If you build TensorFlow from source, you will not face this issue and TensorFlow will get build with any version of Python and pip.

  • Follow these steps:
git clone https://github.com/tensorflow/tensorflow.git
cd tensorflow
./configure
  • Build the pip wheel file
bazel build -c opt --copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-mavx512
--copt=-mavx512f --copt=-mavx512vnni --copt=-mfpmath=both --copt=-msse4.1 
--copt=-msse4.2 -k //tensorflow/tools/pip_package:build_pip_package

Note the optimization flags used such has—copt=-mavx512f

  • Prepare the wheel file
bazel-bin/tensorflow/tools/pip_package/
build_pip_package /tmp/tensorflow_pkg
  • Install the wheel file and use TensorFlow
pip install tensorflow-2.10.0-wheel --force

With this article at OpenGenus, you must have fixed the issue of installing TensorFlow using pip.

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