afcharts
UK government chart styling in ggplot2, chasing ggplot2 v4 and stretching its palette to five.
Comparison · Infra & APIs
aftables vs mLLMCelltype
A side-by-side editorial comparison of aftables and mLLMCelltype — release velocity, themes, recent moves, and the top alternatives to consider.
aftables vs mLLMCelltype: at a glance
What is aftables?
Accessible government spreadsheets in R, rebuilt on openxlsx2 and renamed along the way.
aftables generates spreadsheets that meet the UK Analysis Function's accessibility guidance, taking structured input and producing a formatted workbook with cover, contents, notes and table sheets. Version 2.0.0 replaced the workbook engine with openxlsx2 and added configuration through a config.yaml file, with create_config_yaml() exporting a template and generate_workbook() gaining arguments to point at it. The package was previously called a11ytables and was renamed in 1.0.2, with function names changed to match.
What is mLLMCelltype?
Consensus cell-type annotation that keeps adding LLM providers, and keeps fixing how they fail.
mLLMCelltype annotates scRNA-seq clusters by polling several LLMs and reconciling their answers into a consensus label, shipping as paired R and Python packages. The 2.0 line has settled into a rhythm: broaden the provider roster, then harden the parsing and retry paths that decide whether a given provider's answer survives into the consensus. Version 2.0.8 is pure reliability work, disabling DeepSeek V4's thinking mode because it exhausted the response budget before labels were returned, and raising non-streaming timeouts to 120 seconds.
aftables vs mLLMCelltype: editorial side-by-side
aftables
0.0INFRA · APIS
Accessible government spreadsheets in R, rebuilt on openxlsx2 and renamed along the way.
◆ Current state
aftables generates spreadsheets that meet the UK Analysis Function's accessibility guidance, taking structured input and producing a formatted workbook with cover, contents, notes and table sheets. Version 2.0.0 replaced the workbook engine with openxlsx2 and added configuration through a config.yaml file, with create_config_yaml() exporting a template and generate_workbook() gaining arguments to point at it. The package was previously called a11ytables and was renamed in 1.0.2, with function names changed to match.
◆ Where it's heading
The history reads in two phases. As a11ytables the work was about what belongs in an accessible spreadsheet, adding arbitrary pre-table metadata rows and enforcing rules such as rejecting tab titles that start with a numeral. Since the rename the work has been structural: a new backend, and configuration moved out of function arguments into a file that can be version-controlled and shared across a team. That second phase suits the audience, since government analysts producing recurring statistical releases want the same document properties applied every time rather than re-specified per run.
◆ Prediction
Expect the config.yaml surface to grow to cover more of what is currently passed as arguments, given it arrived alongside alternative author, title and keywords arguments that it plainly supersedes. With the openxlsx2 migration complete, further releases are likely to be formatting fixes surfaced by real departmental publications, as 2.0.1 already was.
mLLMCelltype
2.5INFRA · APIS
Consensus cell-type annotation that keeps adding LLM providers, and keeps fixing how they fail.
◆ Current state
mLLMCelltype annotates scRNA-seq clusters by polling several LLMs and reconciling their answers into a consensus label, shipping as paired R and Python packages. The 2.0 line has settled into a rhythm: broaden the provider roster, then harden the parsing and retry paths that decide whether a given provider's answer survives into the consensus. Version 2.0.8 is pure reliability work, disabling DeepSeek V4's thinking mode because it exhausted the response budget before labels were returned, and raising non-streaming timeouts to 120 seconds.
◆ Where it's heading
The centre of gravity has moved from adding models to defending against them. Recent notes read as a catalogue of ways an LLM response can be malformed: numbered lists, preamble headers, annotation-internal colons, a mid-list Unknown, thinking blocks that precede the answer, rate limits returned as HTTP 200 with an error buried in the body. Each of those could previously shift or drop a cluster's annotation, which for a consensus tool is the failure that matters most. Provider additions now land as routine catalogue growth rather than a change in what the package can do.
◆ Prediction
Expect the next release to continue the reliability arc with more provider-specific timeout and parsing guards, and a CRAN publication of 2.0.8 to close the gap the notes themselves flag. Whether return_reasoning grows from an option into the default per-cluster evidence record is the open question these entries do not yet answer.
Alternatives to aftables and mLLMCelltype
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either aftables or mLLMCelltype.
coga
A gamma-convolution density package that reached completion in 2018 and has coasted since.
smam
Animal-movement models in R, where new stochastic processes arrive years apart.
baseq
A basic DNA and RNA sequence toolkit that went quiet for three years, then jumped to 2.0.
pakret
Package citation for R documents, quietly growing to meet Quarto.
ShortForm
Automated scale shortening with lavaan, spending its releases repairing its own search algorithms.
See all aftables alternatives → · See all mLLMCelltype alternatives →
Recent activity from aftables and mLLMCelltype
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agomLLMCelltypeDeepSeek annotations stop timing out before a label returns
- 1mo agomLLMCelltypeKimi joins the provider panel; annotation parsing hardened
- 3mo agomLLMCelltypePackaging release rolling up parsing and Qwen cache fixes
- 3mo agomLLMCelltypeRelease archived on Zenodo for the accompanying paper
- 4mo agoaftablesrlang import restored for older R versions
- 5mo agoaftablesWorkbook engine moved to openxlsx2; config.yaml introduced ⚡
- 6mo agomLLMCelltypeModel roster refreshed; logging unified and console output off
- 1y agomLLMCelltypemLLMCelltype v1.2.9: Cache System Fix and Improvements
- 1y agoaftablesPackage renamed from a11ytables to aftables
- 2y agoaftablesTab titles beginning with a numeral now rejected
- 2y agoaftablescustom_rows allows arbitrary pre-table metadata
- 2y agoaftablesTable count spelled out; README spelling corrected
Frequently asked questions
What is the difference between aftables and mLLMCelltype?
They serve adjacent needs but don't currently overlap on shipped themes. mLLMCelltype is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is aftables better than mLLMCelltype?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mLLMCelltype is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to aftables?
Top aftables alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "aftables alternatives" section above for the current picks, or visit /alternatives/aftables for the full list with editorial commentary on each.
What are the best alternatives to mLLMCelltype?
Top mLLMCelltype alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mLLMCelltype alternatives" section above for the current picks, or visit /alternatives/mllmcelltype for the full list with editorial commentary on each.