Head to head comparison, both cost $899.
Open Babel is a chemical toolbox designed to speak the many languages of chemical data. It's an open, collaborative project allowing anyone to search, convert, analyze, or store data from molecular modeling, chemistry, solid-state materials, biochemistry, or related areas.
Everyone's favourite text editor has been updated. BBEdit 14 requires Mac OS X 10.14.2 or later, and is compatible with macOS 10.15 "Catalina" and macOS 11 "Big Sur". Native on Macs with the M1 processor
Anaconda Virtual Environments - Anaconda is particularly popular with data scientists, as well as with others who need to rapidly switch between different tooling and library configurations. BBEdit 14 will use conda or miniconda to detect your virtual environments, and provides a mechanism for switching the active environment for use when running Unix tools and scripts from within BBEdit.
New Built-In Languages - BBEdit 14 adds built-in syntax coloring and function navigation support for Go, R, Rust, Lisp-family languages (Common Lisp, Scheme, Clojure), and Pixar Universal Scene Description (USD) text files.
Enhanced Developer Features - BBEdit 14 enables several new features and significant improvements to its built-in coding aids for developers, including:
Enhanced language-specific text completions; Improved Find Definition; Assistance for specifying function parameters; New code-navigation features; In-window highlighting of syntax and semantic issues; Language-specific document reformatting. These feature improvements are the result of new built-in support for the Language Server Protocol ("LSP") by which user-installed local "language servers" implement key language-sensitive behaviors. Specific available features may vary by language and by server.
Full details are here.
The very popular NMR application iNMR has been updated to version 6.4 in addition iNMR reader has also been updated. It requires Mac OS 11 or higher and it runs on the Apple M1 chip machines.
There are more details here
It is labelled as "Universal" by the Mac Finder. It means that it actually contains two program (it's really fat). One program runs on Intel Macs. The other program runs natively on Macs with the M1 chip. I had also discovered that the previous Mac version worked perfectly with Ma OS 10 but not everything looked the same on Mac OS 11. I have fixed the known issues. Quite likely you'll have had a few minor issues as well. If you are so kind to report them I will happily fix everything during next week. You'll also see a new, corresponding version, of iNMR reader. Another plan was to "notarize" the Mac version. If you are a Mac user you probably know that the Mac, by default, refuses to run iNMR. You are required to right-click the iNMR icon, select "Open" and then authorise iNMR. With the notarization things get simpler. I would like to know: how much is this important for you? I hope you don't care, because for the moment being iNMR is not notarized yet. I have worked mainly on the QuickLook plugin. Please somebody test it. Beware: if you had activated the option "create Thumbnails", then iNMR have surely created many .tiff files that look nice but are not visible in the Finder.
Modeller written in Fortran90 has been ported to Apple Silicon
They used the gfortran that's part of the gcc homebrew package (https://brew.sh/). They see about a 20% performance improvement with gfortran-10 on a 2020 Mac Mini (M1) compared to Intel Fortran on a 2018 Mac Mini (Intel).
MODELLER is used for homology or comparative modeling of protein three-dimensional structures. The user provides an alignment of a sequence to be modeled with known related structures and MODELLER automatically calculates a model containing all non-hydrogen atoms. MODELLER implements comparative protein structure modeling by satisfaction of spatial restraints, and can perform many additional tasks, including de novo modeling of loops in protein structures, optimization of various models of protein structure with respect to a flexibly defined objective function, multiple alignment of protein sequences and/or structures, clustering, searching of sequence databases, comparison of protein structures, etc.
If you are using the Homebrew package manager, you can install Modeller on recent Macs (either Intel or Apple Silicon, M1) by simply running
brew tap salilab/salilab brew install modeller
OpenMM is a toolkit for molecular simulation using high performance GPU code.
This is a patch release. It contains a small number of bug fixes, as well as changes to enable two significant additions to the supported platforms.
First, this release provides preliminary support for ARM based Macs. The support has not been extensively tested and should be treated as beta quality. Please try it out and let us know if you encounter any bugs while using it.
Second, we are now providing conda packages for use with Pypy. This is an alternate Python interpreter that uses just-in-time compilation to provide much faster execution than CPython. You can create a conda environment that uses Pypy with the command
conda create -c conda-forge --name pypy pypy
Docker is now available for M1 machines
The release note can be found here https://docs.docker.com/docker-for-mac/release-notes/
and you download it here.
The very popular bioinformatics tool MacVector 18.1 is now available to download. MacVector 18.1 is a Universal Binary application, which means it runs natively on both Apple Silicon M1 Macs and Intel Macs. MacVector 18.1 matches the “Big Sur” look and feel. …and for the first time in many, many years the MacVector icon has changed to match the square look of macOS Big Sur icons.
We ran some benchmarks to see how much faster MacVector now runs on an Apple Silicon MacBook Pro. We compared this against MacVector 18.0, which runs using Rosetta2 emulation. In some cases you can see that the native Apple Silcon MacVector 18.1 runs 200% faster than the emulated MacVector 18.0.
XQuartz 2.8.0 has been released for macOS 10.9 or later. I've been in touch with a couple of users and they report no issues so far. This is the first version with Apple Silicon support.
The XQuartz project is an open-source effort to develop a version of the X.Org X Window System that runs on OS X. Together with supporting libraries and applications, it forms the X11.app that Apple shipped with OS X versions 10.5 through 10.7.
Changes in 2.8.0
- Adds native support for Apple Silicon Macs.
- Removes support for versions of macOS older than 10.9
- Uses system libXplugin
- Removes build-time support for deprecated X11 libraries:
- Removes deprecated commands:
- Removes xpyb
- Removes older libpng
Full release notes are here https://www.xquartz.org/releases/XQuartz-2.8.0.html
The full CSD software portfolio, including Mercury, ConQuest, Mogul, GOLD, CSD-CrossMiner, the CSD Python API and other components, has now been upgraded and tested for compatibility with Big Sur. We are pleased to report that the newly available 2020.3.1 CSD Release (only available on macOS) is fully supported on macOS Big Sur at point of release, both for Intel-based macs, as well as the newer M1 Apple silicon based macs. At this point we are aware of just two specific known issues for the newer silicon hardware machines:
- The POV-Ray integration in Mercury for high-resolution graphics generation does not work on M1 Apple silicon based macs
- The Aromatics Analyser component in the CSD-Materials menu of Mercury does not work on M1 Apple silicon based macs We expect that these final remaining issues will be addressed in the next CSD software release.
Full details are here https://www.ccdc.cam.ac.uk/solutions/whats-new/.
More details on scientific applications under Big Sur are here https://www.macinchem.org/blog/files/1fd84c61d3f91608c1b9c413c8064cd4-2692.php
I've just updated the Fortran on a Mac page.
NAG Fortran compiler Fortran compiler for Apple Silicon Macs now available to download. Available on Linux, Windows and macOS, including Apple Silicon Macs.
Absoft Pro Fortran 2021 For macOS and OS X. Fully compatible with macOS Big Sur (11.0).
We are just starting to see a few benchmarks on the new Apple M1 chip using scientific applications.
This blog post looks like it will be really interesting to follow.
In this post, which I expect will be the first in a series, I’ll share the code that got me running with a basic Python 3.9, scipy, and matplotlib environment. However, I immediately took it further, getting a working – and quite well-performing – installations of the Atomic Simulation Environment (ASE), used for building, manipulating and visualizing atomistic structure files, as well as a parallel installation of the density functional theory code GPAW.
not even having 10 high-performance Xeon cores in the iMac Pro instead of only 4 high-performance M1 cores in the MacBook Pro brought the two systems to parity: the M1 MacBook Pro handily wins this comparison.
Homebrew has been updated
Apple Silicon is now officially supported for installations in /opt/homebrew. formulae.brew.sh formula pages indicate for which platforms bottles (binary packages) are provided and therefore whether they are supported by Homebrew. Homebrew doesn’t (yet) provide bottles for all packages on Apple Silicon that we do on Intel x8664 but we welcome your help in doing so. Rosetta 2 on Apple Silicon still provides support for Intel x8664 in /usr/local.
A lot of people have been asking me about running data analysis on the new laptops with M1 chips. It looks like we are starting to see a few benchmarks appearing.
A recent blog post Are The New M1 Macbooks Any Good for Data Science? Let’s Find Out would suggest that the performance of the M1chip continues to impress.
Whilst all benchmarks come with caveats, some use "native" installations others require Rosetta
Python is approximately three times faster when run natively on a new M1 chip, Numpy looks to be slightly slower, Pandas is twice as fast, SciKit-Learn is twice as fast.
Instructions for installing TensorFlow 2.4 on Apple Silicon M1: installation under Conda environment have also been reported.
PyCharm, JetBrains’ IDE for Python development, now supports Apple Silicon M1 processors.
The ARM OSX Migration seems to be quite active :-)
And here it is
OpenMM is now available on condaforge for osx-64 to support new Apple hardware based on the Mac M1 chip!
conda install -c conda-forge openmm
I'd be really interested in hearing about any benchmarking activities.
Analyzing the runtime, energy usage, and performance of Tensorflow training on a M1 Mac Mini and Nvidia V100
An interesting comparison of Apple Intel and M1 chips machines with Nvidia 100 when using Tensorflow.
We ran a sweep of 8 different configurations of our training script and show that the Apple M1 offers impressive performance within reach of much more expensive and less energy efficient accelerators such as the Nvidia V100 for smaller architectures and datasets.
Code is available on Colab https://colab.research.google.com/drive/1RvZBpzJRW9MNPWQ2rZG8HIyHJbaCwnTI.
They also include tips on setting up a Mac mini to run Tensorflow.
Only initial results on modest data sets, will be interesting to see the performance when Apple releases more Pro hardware.
A technical but still very accessible (15 min) analysis of the latest Apple M1 chip. Well worth spending a coffee break viewing.
Latest update from Microsoft
We are excited to announce that starting today we are releasing new versions of many of our Microsoft 365 for Mac apps that run natively on Macs with M1. This means that now our core flagship Office apps—Outlook, Word, Excel, PowerPoint, and OneNote—will run faster and take full advantage of the performance improvements on new Macs, making you even more productive on the latest MacBook Air, 13-inch MacBook Pro, and Mac mini. The new Office apps are Universal, so they will continue to run great on Macs with Intel processors. The apps are not only speedy, but they also look fantastic as they have been redesigned to match the new look of macOS Big Sur. Here is a peek at Outlook on the new 13-inch MacBook Pro.
More details here.
First let me say I’m not a big Fortran user but any blog posts about Fortran always seem to be very popular, and the Fortran on a Mac page is one of the most popular pages.
I've been sent these details of fortran compilers that might be of interest.
NAG Fortran compiler Fortran compiler for Apple Silicon Macs now available to download.
Absoft Absoft Pro Fortran 2021 For macOS and OS X Fully compatible with macOS Big Sur (11.0).
Computation Tools :: C/Fortran On the HPC Mac OSX page, Compiled using source code from the GNU servers.
General Issues with Big Sur
If you want an overview of Big Sur I'd recommend the excellent arstechnica review.
Apple has officially confirmed that the following Macs are compatible with Big Sur.
- MacBook (2015 or newer)
- MacBook Air (2013 or newer)
- MacBook Pro (Late 2013 or newer)
- Mac mini (2014 or newer)
- iMac (2014 or newer)
- iMac Pro (2017)
- Mac Pro (2013 and later)
In addition there is issue of the new Apple Silicon Macs with the new Apple M1 chip, if there is specific information about the new machines I've included it.
I've contacted all developers I know and their responses to date are shown below.
4-Peaks no known issues
Absoft Absoft Pro Fortran 2021 For macOS and OS X Fully compatible with macOS Big Sur (11.0)
alvaDesc We tested all our products and all of them work properly on MacOS Big Sur.
Amsterdam Modeling Suite As we only just finished our 2020 release our developers didn't dare switching to Big Sur yet. I can try on my own macbook shortly.
Anaconda seems to be working fine.
APE make sure you download the 64-bit version
Avogadro Been running Big Sur betas for a while - everything works. The next beta of Avogadro v2 will have some interface tweaks that are more noticeable on Big Sur (e.g., warning dialogs changed to be Mac-native). Don't yet have universal binaries, but working on it for Open Babel and Avogadro v2 betas (e.g. 1.94). Should still work fine on Apple Silicon computers.
Brainsight macOS 11 Big Sur is coming out very soon, but do not upgrade your Mac yet, because Brainsight is not yet compatible with Big Sur
ChemAxon Most of our software in general requires Java, so as long as the appropriate Java version is installed, there should be no problem.
ChemDraw current version products (ChemDraw Professional 126.96.36.199 and ChemDraw Prime 188.8.131.52) supported with Mac OSX Catalina (v20.0 qualified with Mac OS 11.0 Beta)
ChemDoodle “The latest versions of ChemDoodle 2D (v11) and ChemDoodle 3D (v6) are fully supported on macOS Big Sur (macOS 10.16/11.0) and there are no known issues. In addition to supporting the operating system update, ARM based Macs (like those just released with the new Apple Silicon chip) are also fully supported for ChemDoodle 2D and ChemDoodle 3D with no known issues."
Conquest and Mercury from CCDC The full CSD software portfolio, including Mercury, ConQuest, Mogul, GOLD, CSD-CrossMiner, the CSD Python API and other components, has been tested and is not currently compatible with macOS Big Sur. Please note that our upcoming 2020.3 CSD Release will not be compatible with macOS Big Sur at point of release. We are working hard on a series of improvements to make our software portfolio compatible and fully supported, which we will make available to users as an update as soon as possible. In the meantime, a number of enhancements have been made to our products to simplify the configuration of and support specifically on macOS platforms. Examples are the removal of XQuartz as a dependency and removal of the need to run an X windows display for full use of the CSD Python API. These enhancements will be incorporated in future CSD software releases."
Cresset testing underway
CrystalMaker Works swimmingly! We’ve tested all our software on Big Sur - including a machine with Apple Silicon - and are happy to confirm full compatibility for CrystalMaker 10.5.5, SingleCrystal 4.1.0 and CrystalDiffract 6.8.5. Free updates to CrystalMaker 10.5.5 and SingleCrystal 4.1.0 were released yesterday morning and are recommended for anyone using “Big Sur”.
We are also very-pleased to announce the immediate availability of CrystalMaker 10.6 for Mac, SingleCrystal 4.1 and CrystalDiffract 10.9 for Apple Silicon: these are Universal Binaries and provide 100% native performance on the new Apple Silicon Macs, as well as 100% native performance on Intel.
As one of the vanishingly-few Mac science developers left, we’re proud of our reputation of developing genuine, native Mac apps. We’ve been doing this for over 25 years now and this is our fourth Mac hardware platform! (we’ve gone from Motorola 68K to PowerPC to Intel and now to Apple Silicon).
CYLView 1.0 does not work under Catalina.
DataWarrior Seems to be working fine.
Delta We are working on an update for Delta and will post it as soon as it is available.
DEVONagent fine under Big Sur on Intel, not tested on Apple Silicon.
DEVONthink fine under Big Sur on Intel, not tested on Apple Silicon.
Elemental Fine under Big Sur and on Apple Silicon
EndNote We are in the process of testing and we will be updating our Compatibility page once our testing is complete. Users report no issues on Intel.
EnzymeX no issues reported
EverNote is compatible with Big Sur
Findings no issues reported
Gaussaian As far as we can tell so far, both of our current releases, Gaussian 16 rev. C.01 and GaussView 6.1.1 for macOS 64-bit Intel CPUs, run normally on macOS Big Sur. We do not have any reports of problems so far. We do not have a native port for Apple Silicon chips for either G16 or GaussView 6. However, for now, both of the Intel binaries that I mentioned above should run on Apple Silicon using Rosetta 2. We have not done full certification on the Apple Silicon at this point but Apple claims that Rosetta 2 should be capable of handling running existing binaries for Intel chips.
Highlights The PDF Reader for Research, updated for Big Sur with version 2020.3. Big Sur also fixes an annoying issue from PDFKit on Catalina where superscript text (e.g. citations) would break text selection.
Homebrew For most seems to work fine, remember to reinstall Xcode command line tools.
All the ICM products are compatible with Big Sur:
Other products that are compatible include:
Igor Pro Igor Pro 8.04 is the first version of Igor that is notarized and includes notarized WaveMetrics XOPs. We therefore recommend that you run Igor Pro 8.04 if you are using macOS 10.15 or macOS 11.0.
KNIME We are testing the upcoming version 4.3 of KNIME Analytics Platform against Big Sur and plan to have it supported by the time we do that release in the first week of December.
Manuscripts no issues reported
Matlab MATLAB is compatible with macOS 11 (Big Sur) from release R2020b onwards, support for Apple Silicon is in development
Mendeley no issues reported
Microsoft Office Microsoft has announced that Office 365 is ready for Big Sur - Apple Silicon M1 Macs will use Rosetta 2 for now
Mnova The current version of Mnova LiteCDE is compatible with MacOS Big Sur
NAG Fortran compiler Fortran compiler for Apple Silicon Macs now available to download
MOE Our initial tests showed no issues with this version.
ODYSSEY Molecular Explorer version 6 looks good.
Papers no issues reported
Parallels Parallels 16 is ready for Big Sur. Older Parallels Desktop versions only partially support working on macOS Big Sur due to technical reasons may experience issues depending on the configuration.
pro Fit pro Fit 7 is now at version 7.0.18, supporting dark mode, Catalina, and Big Sur.
PYMOL On Intel Macs with macOS 11, PyMOL works fine, no known issues. We have not tested Apple Silicon (M1) yet.
Python Python 2.7 is no longer included - use Python 3 instead Python works fine on Apple Silicon and is "mad fast!".
QMForge 2.4 does not support Big Sur yet
R The front page of a CRAN site has a link ‘Download R for (Mac) OS X’. Click on that, then download the file R-4.0.3.pkg and install it. This runs on macOS 10.13 and later on Intel CPU20 (High Sierra, Mojave, Catalina, Big Sur, …).
RDKit All seems fine (Note: -Python 2.7 is no longer supported - use Python 3 instead)
Samson SAMSON 2020 R3 (the latest release) works on Big Sur.
Schrodinger Upgrading to macOS 11 will cause existing Schrödinger Suite releases to fail to run. We are hard at work to address this incompatibility and expect to extend support to macOS 11 in an upcoming Schrödinger Suite release
SeeSAR now updated to support Big Sur.
Sketch With version 70 release, we’re excited to introduce a UI redesign that fits right in with the new macOS Big Sur design language. It’s the same Sketch you know and love, but with every detail reconsidered — from a full-height sidebar, to a refreshed Inspector, and all-new iconography throughout the app.
Spartan There are a few interface issues, tab highlighting on selection is unreliable, not a showstopper but irritating.
SPSS The current release IBM SPSS Statistics 27.0.1 and the current IBM SPSS Statistics Subscription release build 184.108.40.206.1447 will run on MAC OSX 11 Big Sur in translation mode.
Stardrop We haven't yet completed a full test cycle, but we have not seen any issues and don't anticipate any.
Swiss-PdbViewer Swiss-PdbViewer is a 32 bits application and will * NOT * run.
TensorFlow and TensorFlow Addons This pre-release delivers hardware-accelerated TensorFlow and TensorFlow Addons for macOS 11.0+. Native hardware acceleration is supported on Macs with M1 and Intel-based Macs through Apple’s ML Compute framework.
UCSF ChimeraX works on 10.14, 10.15, and 11.0 (Big Sur).
VMD there interface issues under Big Sur
VMWare In preparation for the next major version of macOS 11.0 Big Sur, VMware has made full use of Apple’s hypervisor and other APIs, removing the need for kernel extensions and supporting macOS 11 as both host and guest.
Vortex Vortex works perfectly on Intel Macs under Big Sur, and on Apple Silicon
Wizard In general works fine, some issue with older work books.
Xcode need to update to latest version. Remember to reinstall command line tools
I’ll add more updates later, feel free to contact me and thanks for the comments to date.
Last update 17 January 2021
Python 3.9.1 has been released this now supports Apple Silicon (M1 chip).
Installer news 3.9.1 is the first version of Python to support macOS 11 Big Sur. With Xcode 11 and later it is now possible to build “Universal 2” binaries which work on Apple Silicon. We are providing such an installer as the macos11.0 variant. This installer can be deployed back to older versions, tested down to OS X 10.9. As we are waiting for an updated version of pip, please consider the macos11.0 installer experimental. This work would not have been possible without the effort of Ronald Oussoren, Ned Deily, and Lawrence D’Anna from Apple. Thank you!
CrystalMaker Software Ltd are pleased to confirm that as of today, all our Mac software runs natively on “Apple Silicon” (as well as older, Intel-based Macs) - i.e., they are “Universal Binaries”.
• CrystalMaker 10.6 for Mac: an award-winning program for building, visualizing and understanding all kinds of crystal & molecular structures (and the only real, genuine, native Mac program for crystal structures).
• CrystalDiffract 10.9 for Mac: x-ray and neutron powder diffraction made easy.
• SingleCrystal 4.1 for Mac: the latest iteration of our Apple Design Award-winning program for simulating single-crystal diffraction, auto-indexing observed TEM diffraction patterns, and working with stereographic projections of planes and vectors.
Learn more by visiting their website at: http://crystalmaker.com.
Amazon’s cloud division announced the availability of new virtual computing instances for software developers that run Apple’s MacOS operating system. They will be using Apple’s Mac Mini computers, featuring Intel Core i7 chips, to deliver EC2 virtual-computing instances with MacOS.
Powered by Mac mini hardware and the AWS Nitro System, you can use Amazon EC2 Mac instances to build, test, package, and sign Xcode applications for the Apple platform including macOS, iOS, iPadOS, tvOS, watchOS, and Safari. The instances feature an 8th generation, 6-core Intel Core i7 (Coffee Lake) processor running at 3.2 GHz, with Turbo Boost up to 4.6 GHz. There’s 32 GiB of memory and access to other AWS services including Amazon Elastic Block Store (EBS), Amazon FSx for Windows File Server, Amazon Simple Storage Service (S3), AWS Systems Manager, and so forth.
Full details of how to access it are here.
Apple M1 Chip – EC2 Mac instances with the Apple M1 chip are already in the works, and planned for 2021.
In further news an AWS engineer puts Windows 10 on Arm on Apple Mac M1 – and it thrashes Surface Pro X
Back in June Apple revealed its plan to transition away from Intel processors inside the Mac to its own processors, Apple Silicon a custom ARM based chip. Whilst initial reports on performance have been very promising, there is always the concern about support for the key scientific software libraries such as numpy and scipy.
Well it seems a new platform osx-arm64 has been added to the build matrix of conda-forge.
Full details are here https://conda-forge.org/blog/posts/2020-10-29-macos-arm64/.
Installed conda will be able to install packages like numpy, scipy. Currently there are about 100 packages out of 10000 packages pre-built for this platform.
Also see clang compilers for conda-build 3