The link that Jason sent provides data for b), c), d). Few more comments:

a) I think that's comparable, if there is anything that Maxima can do
and SymPy can't, please let us know. SymPy might have more features in
specific areas.

b, c) I think sympy has more developers and the community is more
involved in the development. Also, being in Python, you can use it
with IPython notebook and all the other libraries in Python. For
scientific computing, arguably the Python ecosystem is now the best /
standard. Large community, lots of tools. And if anything replaces
Python in the future (perhaps Julia), it will have to provide good
Python interoperability (Julia does already). So the investment in
Python will not be lost. This is the biggest argument for SymPy
against Maxima in my opinion. The rest is less important, although it
also compares favorably for SymPy.

e) Test coverage in sympy is in my opinion very good, but I don't have
hard data on that compared to maxima.

On Mon, Jan 12, 2015 at 5:38 PM, Jason Moore <[email protected]> wrote:
> Here is a comparison:
> https://www.openhub.net/p/compare?project_0=SymPy&project_1=Maxima+--+GPL+CAS+based+on+DOE-MACSYMA
>
>
> Jason
> moorepants.info
> +01 530-601-9791
>
> On Mon, Jan 12, 2015 at 4:29 PM, Jason Moore <[email protected]> wrote:
>>
>> Bastian,
>>
>> Maybe https://www.openhub.net/ has both projects. It has sympy and a bunch
>> of stats.
>>
>> Feel free to improve the wiki page on the sympy repository as it will
>> likely help others too.
>>
>>
>> Jason
>> moorepants.info
>> +01 530-601-9791
>>
>> On Mon, Jan 12, 2015 at 4:07 PM, Bastian Weber
>> <[email protected]> wrote:
>>>
>>> Sorry if this post might be slightly offtopic,
>>>
>>> Situation:
>>>
>>> A (generalized) colleague is working on a book. Intended audience are
>>> graduate students of electrical engineering. The book treats concepts
>>> like vector fields, differential forms, (linear and nonlinear)
>>> coordinate transforms, null spaces, etc. The author wants to provide
>>> some "illustrations" of the treated concepts by means of short
>>> computer-algebra snippets. Currently he uses maxima.
>>>
>>> From my point of view, the combination of IPython notebook and sympy
>>> would be a better choice. So I am collecting arguments, which should be
>>> covered by reliable information, to finally convince him (in the best
>>> case).
>>>
>>> Status: Until now I only found
>>>
>>> [1] https://github.com/sympy/sympy/wiki/SymPy-vs.-Maxima
>>>
>>> which seems to be quite neutral, i.e., it does not reflect my personal
>>> experience that the usage of sympy is much more intuitive.
>>>
>>>
>>> Questions:
>>>
>>> 1. Are there any documents available, comparing sympy and maxima in
>>> terms of:
>>>
>>> a) features ([1] does this on a quite abstract level)
>>> b) development activity
>>> c) community size
>>> d) documentation coverage
>>> e) test coverage
>>> f) subjective "usability experience" (maybe internal consistency, module
>>> compatibility)
>>>
>>>
>>> 2. What would be other arguments for/against Sympy (together with
>>> IPNotebook and Python)?
>>>
>>> I started to collect my thoughts here:
>>>
>>> [2] https://github.com/basweber/sympy/wiki/sympy_vs_maxima
>>>
>>> Best regards,
>>>
>>> Bastian
>>>
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>>
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